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DL0320EN-4-2-CompareModels_Keras.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a href=\"https://cocl.us/DL0320EN_TOP_IMAGE\">\n",
" <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DL0320EN/Assets/Images/Top.png\" width=\"750\" alt=\"IBM 10TB Storage\" />\n",
"</a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h1>Classifying European Money Denominations: Comparing Two Models</h1>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h2>Table of Contents</h2>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>In this lab you will compare the <code>ResNet50</code> and <code>VGG16</code></p>\n",
"<ul>\n",
" <li><a href=\"#dataset\">Create Dataset Class and Object</a></li>\n",
" <li><a href=\"#pre\">Load Pre-trained Model</a></li>\n",
" <li><a href=\"#analyze\">Analyze Models</a></li>\n",
"</ul>\n",
"\n",
"<p>Estimated Time Needed: <b>25 min</b></p>\n",
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h2>Preparation</h2>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a href=\"https://cocl.us/DL0320EN_storage\">\n",
" <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DL0320EN/Assets/Images/ObjectStorage.png\" width=\"750\" alt=\"cognitive class\" />\n",
"</a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Download the datasets you needed for this lab."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# You can comment out this box when you already have the dataset\n",
"# Step 1: Ctrl + A : Select all\n",
"# Step 2: Ctrl + / : Comment out all; if everything selected has been comment out alreaday, then uncomment all\n",
"\n",
"# Download test dataset\n",
"!wget --quiet -O /resources/data/test_data_keras.tar.gz https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DL0320EN/Datasets/Keras/test_data_keras.tar.gz\n",
"!tar -xzf /resources/data/test_data_keras.tar.gz -C /resources/data --exclude '.*'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Import the Keras Modules needed in the lab."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"# Import Keras Modules\n",
"\n",
"import keras\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.models import load_model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Import Non-Keras Modules "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Import Non-Keras Modules\n",
"\n",
"import os\n",
"from matplotlib.pyplot import imshow\n",
"import matplotlib.pylab as plt\n",
"import pandas as pd\n",
"from PIL import Image\n",
"import numpy as np "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h2 id=\"dataset\">Create Dataset Class and Object</h2>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this section, you use the dataset class from the last section."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The denomination, the folder path for the testing data is as below."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# The path for accessing image dataset folder\n",
"\n",
"test_data_dir = '/resources/data/test_data_keras/'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3>Try</h3>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Try to construct a <code>test_generator</code> using <code>test_data_dir</code> as directory path"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Create Dataset Class\n",
"\n",
"CLASSES = ['5', '10', '20', '50', '100', '200', '500']\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 70 images belonging to 7 classes.\n"
]
}
],
"source": [
"test_generator = ImageDataGenerator().flow_from_directory(test_data_dir\n",
" , target_size=(224, 224)\n",
" , batch_size=5\n",
" , classes=CLASSES\n",
" , seed=0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Double-click <b>here</b> for the solution.\n",
"<!--\n",
"test_generator = ImageDataGenerator().flow_from_directory(test_data_dir\n",
" , target_size=(224, 224)\n",
" , batch_size=5\n",
" , classes=CLASSES\n",
" , seed=0)\n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h2 id=\"pre\">Load Pre-trained Model</h2>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load the <code>ResNet50</code> and <code>VGG16</code> model you created from the last section "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Load pre-trained model\n",
"model = load_model(\"resnet50_keras.pt\")\n",
"model_vgg = load_model(\"vgg16_keras.pt\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print the structure of two models. You need to answer the questions in quiz based on the output here."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=================================== ResNet50 =========================================\n",
"__________________________________________________________________________________________________\n",
"Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
"input_1 (InputLayer) (None, 224, 224, 3) 0 \n",
"__________________________________________________________________________________________________\n",
"conv1_pad (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0] \n",
"__________________________________________________________________________________________________\n",
"conv1 (Conv2D) (None, 112, 112, 64) 9472 conv1_pad[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn_conv1 (BatchNormalization) (None, 112, 112, 64) 256 conv1[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_1 (Activation) (None, 112, 112, 64) 0 bn_conv1[0][0] \n",
"__________________________________________________________________________________________________\n",
"max_pooling2d_1 (MaxPooling2D) (None, 55, 55, 64) 0 activation_1[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2a_branch2a (Conv2D) (None, 55, 55, 64) 4160 max_pooling2d_1[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2a_branch2a (BatchNormalizati (None, 55, 55, 64) 256 res2a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_2 (Activation) (None, 55, 55, 64) 0 bn2a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2a_branch2b (Conv2D) (None, 55, 55, 64) 36928 activation_2[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2a_branch2b (BatchNormalizati (None, 55, 55, 64) 256 res2a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_3 (Activation) (None, 55, 55, 64) 0 bn2a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2a_branch2c (Conv2D) (None, 55, 55, 256) 16640 activation_3[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2a_branch1 (Conv2D) (None, 55, 55, 256) 16640 max_pooling2d_1[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2a_branch2c (BatchNormalizati (None, 55, 55, 256) 1024 res2a_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2a_branch1 (BatchNormalizatio (None, 55, 55, 256) 1024 res2a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_1 (Add) (None, 55, 55, 256) 0 bn2a_branch2c[0][0] \n",
" bn2a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_4 (Activation) (None, 55, 55, 256) 0 add_1[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2b_branch2a (Conv2D) (None, 55, 55, 64) 16448 activation_4[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2b_branch2a (BatchNormalizati (None, 55, 55, 64) 256 res2b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_5 (Activation) (None, 55, 55, 64) 0 bn2b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2b_branch2b (Conv2D) (None, 55, 55, 64) 36928 activation_5[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2b_branch2b (BatchNormalizati (None, 55, 55, 64) 256 res2b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_6 (Activation) (None, 55, 55, 64) 0 bn2b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2b_branch2c (Conv2D) (None, 55, 55, 256) 16640 activation_6[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2b_branch2c (BatchNormalizati (None, 55, 55, 256) 1024 res2b_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_2 (Add) (None, 55, 55, 256) 0 bn2b_branch2c[0][0] \n",
" activation_4[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_7 (Activation) (None, 55, 55, 256) 0 add_2[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2c_branch2a (Conv2D) (None, 55, 55, 64) 16448 activation_7[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2c_branch2a (BatchNormalizati (None, 55, 55, 64) 256 res2c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_8 (Activation) (None, 55, 55, 64) 0 bn2c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2c_branch2b (Conv2D) (None, 55, 55, 64) 36928 activation_8[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2c_branch2b (BatchNormalizati (None, 55, 55, 64) 256 res2c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_9 (Activation) (None, 55, 55, 64) 0 bn2c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res2c_branch2c (Conv2D) (None, 55, 55, 256) 16640 activation_9[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn2c_branch2c (BatchNormalizati (None, 55, 55, 256) 1024 res2c_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_3 (Add) (None, 55, 55, 256) 0 bn2c_branch2c[0][0] \n",
" activation_7[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_10 (Activation) (None, 55, 55, 256) 0 add_3[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3a_branch2a (Conv2D) (None, 28, 28, 128) 32896 activation_10[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3a_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_11 (Activation) (None, 28, 28, 128) 0 bn3a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3a_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_11[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3a_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_12 (Activation) (None, 28, 28, 128) 0 bn3a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3a_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_12[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3a_branch1 (Conv2D) (None, 28, 28, 512) 131584 activation_10[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3a_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3a_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512) 2048 res3a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_4 (Add) (None, 28, 28, 512) 0 bn3a_branch2c[0][0] \n",
" bn3a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_13 (Activation) (None, 28, 28, 512) 0 add_4[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3b_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_13[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3b_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_14 (Activation) (None, 28, 28, 128) 0 bn3b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3b_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_14[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3b_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_15 (Activation) (None, 28, 28, 128) 0 bn3b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3b_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_15[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3b_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3b_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_5 (Add) (None, 28, 28, 512) 0 bn3b_branch2c[0][0] \n",
" activation_13[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_16 (Activation) (None, 28, 28, 512) 0 add_5[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3c_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_16[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3c_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_17 (Activation) (None, 28, 28, 128) 0 bn3c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3c_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_17[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3c_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_18 (Activation) (None, 28, 28, 128) 0 bn3c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3c_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_18[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3c_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3c_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_6 (Add) (None, 28, 28, 512) 0 bn3c_branch2c[0][0] \n",
" activation_16[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_19 (Activation) (None, 28, 28, 512) 0 add_6[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3d_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_19[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3d_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_20 (Activation) (None, 28, 28, 128) 0 bn3d_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3d_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_20[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3d_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_21 (Activation) (None, 28, 28, 128) 0 bn3d_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res3d_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_21[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn3d_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3d_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_7 (Add) (None, 28, 28, 512) 0 bn3d_branch2c[0][0] \n",
" activation_19[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_22 (Activation) (None, 28, 28, 512) 0 add_7[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4a_branch2a (Conv2D) (None, 14, 14, 256) 131328 activation_22[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4a_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_23 (Activation) (None, 14, 14, 256) 0 bn4a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4a_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_23[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4a_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_24 (Activation) (None, 14, 14, 256) 0 bn4a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4a_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_24[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4a_branch1 (Conv2D) (None, 14, 14, 1024) 525312 activation_22[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4a_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096 res4a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_8 (Add) (None, 14, 14, 1024) 0 bn4a_branch2c[0][0] \n",
" bn4a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_25 (Activation) (None, 14, 14, 1024) 0 add_8[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4b_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_25[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4b_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_26 (Activation) (None, 14, 14, 256) 0 bn4b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4b_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_26[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4b_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_27 (Activation) (None, 14, 14, 256) 0 bn4b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4b_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_27[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4b_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_9 (Add) (None, 14, 14, 1024) 0 bn4b_branch2c[0][0] \n",
" activation_25[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_28 (Activation) (None, 14, 14, 1024) 0 add_9[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4c_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_28[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4c_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_29 (Activation) (None, 14, 14, 256) 0 bn4c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4c_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_29[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4c_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_30 (Activation) (None, 14, 14, 256) 0 bn4c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4c_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_30[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4c_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_10 (Add) (None, 14, 14, 1024) 0 bn4c_branch2c[0][0] \n",
" activation_28[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_31 (Activation) (None, 14, 14, 1024) 0 add_10[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4d_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_31[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4d_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_32 (Activation) (None, 14, 14, 256) 0 bn4d_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4d_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_32[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4d_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_33 (Activation) (None, 14, 14, 256) 0 bn4d_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4d_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_33[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4d_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_11 (Add) (None, 14, 14, 1024) 0 bn4d_branch2c[0][0] \n",
" activation_31[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_34 (Activation) (None, 14, 14, 1024) 0 add_11[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4e_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_34[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4e_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_35 (Activation) (None, 14, 14, 256) 0 bn4e_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4e_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_35[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4e_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_36 (Activation) (None, 14, 14, 256) 0 bn4e_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4e_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_36[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4e_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_12 (Add) (None, 14, 14, 1024) 0 bn4e_branch2c[0][0] \n",
" activation_34[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_37 (Activation) (None, 14, 14, 1024) 0 add_12[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4f_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_37[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4f_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_38 (Activation) (None, 14, 14, 256) 0 bn4f_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4f_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_38[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4f_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_39 (Activation) (None, 14, 14, 256) 0 bn4f_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res4f_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_39[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4f_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_13 (Add) (None, 14, 14, 1024) 0 bn4f_branch2c[0][0] \n",
" activation_37[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_40 (Activation) (None, 14, 14, 1024) 0 add_13[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5a_branch2a (Conv2D) (None, 7, 7, 512) 524800 activation_40[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5a_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_41 (Activation) (None, 7, 7, 512) 0 bn5a_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5a_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_41[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5a_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_42 (Activation) (None, 7, 7, 512) 0 bn5a_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5a_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_42[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5a_branch1 (Conv2D) (None, 7, 7, 2048) 2099200 activation_40[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5a_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048) 8192 res5a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_14 (Add) (None, 7, 7, 2048) 0 bn5a_branch2c[0][0] \n",
" bn5a_branch1[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_43 (Activation) (None, 7, 7, 2048) 0 add_14[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5b_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_43[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5b_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_44 (Activation) (None, 7, 7, 512) 0 bn5b_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5b_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_44[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5b_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_45 (Activation) (None, 7, 7, 512) 0 bn5b_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5b_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_45[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5b_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_15 (Add) (None, 7, 7, 2048) 0 bn5b_branch2c[0][0] \n",
" activation_43[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_46 (Activation) (None, 7, 7, 2048) 0 add_15[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5c_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_46[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5c_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_47 (Activation) (None, 7, 7, 512) 0 bn5c_branch2a[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5c_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_47[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5c_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_48 (Activation) (None, 7, 7, 512) 0 bn5c_branch2b[0][0] \n",
"__________________________________________________________________________________________________\n",
"res5c_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_48[0][0] \n",
"__________________________________________________________________________________________________\n",
"bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5c_branch2c[0][0] \n",
"__________________________________________________________________________________________________\n",
"add_16 (Add) (None, 7, 7, 2048) 0 bn5c_branch2c[0][0] \n",
" activation_46[0][0] \n",
"__________________________________________________________________________________________________\n",
"activation_49 (Activation) (None, 7, 7, 2048) 0 add_16[0][0] \n",
"__________________________________________________________________________________________________\n",
"avg_pool (AveragePooling2D) (None, 1, 1, 2048) 0 activation_49[0][0] \n",
"__________________________________________________________________________________________________\n",
"flatten_1 (Flatten) (None, 2048) 0 avg_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"dense_1 (Dense) (None, 7) 14343 flatten_1[0][0] \n",
"==================================================================================================\n",
"Total params: 23,602,055\n",
"Trainable params: 14,343\n",
"Non-trainable params: 23,587,712\n",
"__________________________________________________________________________________________________\n",
"ResNet5O:\n",
" None\n",
"=================================== VGG16 ============================================\n",
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"input_3 (InputLayer) (None, 224, 224, 3) 0 \n",
"_________________________________________________________________\n",
"block1_conv1 (Conv2D) (None, 224, 224, 64) 1792 \n",
"_________________________________________________________________\n",
"block1_conv2 (Conv2D) (None, 224, 224, 64) 36928 \n",
"_________________________________________________________________\n",
"block1_pool (MaxPooling2D) (None, 112, 112, 64) 0 \n",
"_________________________________________________________________\n",
"block2_conv1 (Conv2D) (None, 112, 112, 128) 73856 \n",
"_________________________________________________________________\n",
"block2_conv2 (Conv2D) (None, 112, 112, 128) 147584 \n",
"_________________________________________________________________\n",
"block2_pool (MaxPooling2D) (None, 56, 56, 128) 0 \n",
"_________________________________________________________________\n",
"block3_conv1 (Conv2D) (None, 56, 56, 256) 295168 \n",
"_________________________________________________________________\n",
"block3_conv2 (Conv2D) (None, 56, 56, 256) 590080 \n",
"_________________________________________________________________\n",
"block3_conv3 (Conv2D) (None, 56, 56, 256) 590080 \n",
"_________________________________________________________________\n",
"block3_pool (MaxPooling2D) (None, 28, 28, 256) 0 \n",
"_________________________________________________________________\n",
"block4_conv1 (Conv2D) (None, 28, 28, 512) 1180160 \n",
"_________________________________________________________________\n",
"block4_conv2 (Conv2D) (None, 28, 28, 512) 2359808 \n",
"_________________________________________________________________\n",
"block4_conv3 (Conv2D) (None, 28, 28, 512) 2359808 \n",
"_________________________________________________________________\n",
"block4_pool (MaxPooling2D) (None, 14, 14, 512) 0 \n",
"_________________________________________________________________\n",
"block5_conv1 (Conv2D) (None, 14, 14, 512) 2359808 \n",
"_________________________________________________________________\n",
"block5_conv2 (Conv2D) (None, 14, 14, 512) 2359808 \n",
"_________________________________________________________________\n",
"block5_conv3 (Conv2D) (None, 14, 14, 512) 2359808 \n",
"_________________________________________________________________\n",
"block5_pool (MaxPooling2D) (None, 7, 7, 512) 0 \n",
"_________________________________________________________________\n",
"flatten (Flatten) (None, 25088) 0 \n",
"_________________________________________________________________\n",
"fc1 (Dense) (None, 4096) 102764544 \n",
"_________________________________________________________________\n",
"fc2 (Dense) (None, 4096) 16781312 \n",
"_________________________________________________________________\n",
"dense_2 (Dense) (None, 7) 28679 \n",
"=================================================================\n",
"Total params: 134,289,223\n",
"Trainable params: 28,679\n",
"Non-trainable params: 134,260,544\n",
"_________________________________________________________________\n",
"VGG16:\n",
" None\n"
]
}
],
"source": [
"# Print model structure\n",
"\n",
"print(\"=================================== ResNet50 =========================================\")\n",
"print(\"ResNet5O:\\n\", model.summary())\n",
"print(\"=================================== VGG16 ============================================\")\n",
"print(\"VGG16:\\n\", model_vgg.summary())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h2 id=\"analyze\">Analyze Models</h2>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3>Try</h3>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Find the error on the test data using the <code>ResNet50</code> model"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy using ResNet50: 0.6428571577583041\n"
]
}
],
"source": [
"# Predict the data using ResNet50 model and print out accuracy\n",
"score = model.evaluate_generator(test_generator, test_generator.n//test_generator.batch_size)\n",
"print(\"Accuracy using ResNet50: \", score[1]) \n",
"# Type your code here"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Double-click <b>here</b> for the solution.\n",
"<!--\n",
"score = model.evaluate_generator(test_generator, test_generator.n//test_generator.batch_size)\n",
"print(\"Accuracy using ResNet50: \", score[1]) \n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3>Try</h3>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Find the error on the test data using the <code>VGG16</code> model"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy using VGG16: 1.0\n"
]
}
],
"source": [
"# Predict the data using VGG16 model and print out accuracy\n",
"score = model_vgg.evaluate_generator(test_generator, test_generator.n//test_generator.batch_size)\n",
"print(\"Accuracy using VGG16: \", score[1]) \n",
"# Type your code here"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Double-click <b>here</b> for the solution.\n",
"<!--\n",
"score = model_vgg.evaluate_generator(test_generator, test_generator.n//test_generator.batch_size)\n",
"print(\"Accuracy using VGG16: \", score[1]) \n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3>Try</h3>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What model performed better on the test data"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Write your answer here: VGG16"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<a href=\"https://cocl.us/DLO0320EN_notebook_bott\">\n",
" <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DL0320EN/Assets/Images/Bottom.png\" width=\"750\" alt=\"cognitive class\" />\n",
"</a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h2>About the Authors:</h2> \n",
"\n",
"<a href=\"https://www.linkedin.com/in/joseph-s-50398b136/\">Joseph Santarcangelo</a> has a PhD in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Other contributors: <a href=\"https://www.linkedin.com/in/michelleccarey/\">Michelle Carey</a>, <a href=\"www.linkedin.com/in/jiahui-mavis-zhou-a4537814a\">Mavis Zhou</a>, <a href=\"https://www.linkedin.com/in/yi-leng-yao-84451275/\">Yi Leng Yao</a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Copyright &copy; 2018 <a href=\"cognitiveclass.ai?utm_source=bducopyrightlink&utm_medium=dswb&utm_campaign=bdu\">cognitiveclass.ai</a>. This notebook and its source code are released under the terms of the <a href=\"https://bigdatauniversity.com/mit-license/\">MIT License</a>."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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