gggzzcch ggzzzzz628

## tensorboard_basic.py
'''
使用Tensorboard可视化计算流和损失函数
使用手写数字数据集MNIST(http://yann.lecun.com/exdb/mnist/)
'''

from __future__ import print_function
import tensorflow as tf

# 导入 MNIST 数据集
from tensorflow.examples.tutorials.mnist import input_data

## gist:1653794

      
        
          
            
              
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                entaroadun
                / gist:1653794
            
            
              Created
              January 21, 2012 20:10
            
              
                Recommendation and Ratings Public Data Sets For Machine Learning 
              
          
        
      
        
  
      
    Movies Recommendation:

MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html
	'''
	使用Tensorboard可视化计算流和损失函数
	使用手写数字数据集MNIST(http://yann.lecun.com/exdb/mnist/)
	'''

	from __future__ import print_function
	import tensorflow as tf

	# 导入 MNIST 数据集
	from tensorflow.examples.tutorials.mnist import input_data