Python tensorflow.python.ops.nn_ops Module

This page shows the popular functions and classes defined in the tensorflow.python.ops.nn_ops module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. bias_add()    
  Used in 42 projects
• 2. softmax()    
  Used in 37 projects
• 3. relu()    
  Used in 34 projects
• 4. conv2d()    
  Used in 30 projects
• 5. dropout()    
  Used in 16 projects
• 6. xw_plus_b()    
  Used in 13 projects
• 7. sparse_softmax_cross_entropy_with_logits()    
  Used in 13 projects
• 8. top_k()    
  Used in 11 projects
• 9. log_softmax()    
  Used in 11 projects
• 10. conv3d()    
  Used in 8 projects
• 11. depthwise_conv2d_native()    
  Used in 8 projects
• 12. with_space_to_batch()    
  Used in 6 projects
• 13. l2_loss()    
  Used in 6 projects
• 14. dilation2d_backprop_input()    
  Used in 5 projects
• 15. conv2d_backprop_input()    
  Used in 5 projects
• 16. conv3d_backprop_filter_v2()    
  Used in 5 projects
• 17. conv3d_backprop_input_v2()    
  Used in 5 projects
• 18. depthwise_conv2d_native_backprop_filter()    
  Used in 5 projects
• 19. dilation2d_backprop_filter()    
  Used in 5 projects
• 20. conv2d_backprop_filter()    
  Used in 5 projects
• 21. depthwise_conv2d_native_backprop_input()    
  Used in 5 projects
• 22. softmax_cross_entropy_with_logits()    
  Used in 5 projects