dieuwkehupkes

import keras.preprocessing.sequence
from keras.models import Model
from keras.layers import Input, Embedding, Recurrent, Masking, GRU, TimeDistributed, Dense
import numpy as np

np.random.seed(0)

# create model
input_layer = Input(shape=(3,), dtype='int32', name='input')
embeddings = Embedding(input_dim=20, output_dim=2, input_length=3, mask_zero=True, name='embeddings')(input_layer)

dieuwkehupkes

 keras_bug.py                                                                                  << buffers 
from keras.layers import Input, Dense
from keras.models import Model, load_model
import numpy as np

input_layer = Input(shape=(5,))
hidden = Dense(5)(input_layer)
output1 = Dense(1, name='output1')(hidden)
output2 = Dense(1, name='output2')(hidden)