Python tensorflow.contrib.slim Module

This page shows the popular functions and classes defined in the tensorflow.contrib.slim 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. arg_scope()    
  Used in 194 projects
• 2. conv2d()    
  Used in 192 projects
• 3. fully_connected()    
  Used in 168 projects
• 4. batch_norm()    
  Used in 145 projects
• 5. max_pool2d()    
  Used in 131 projects
• 6. l2_regularizer()    
  Used in 110 projects
• 7. dropout()    
  Used in 100 projects
• 8. flatten()    
  Used in 93 projects
• 9. conv2d_transpose()    
  Used in 69 projects
• 10. avg_pool2d()    
  Used in 49 projects
• 11. repeat()    
  Used in 40 projects
• 12. get_model_variables()    
  Used in 38 projects
• 13. get_variables_to_restore()    
  Used in 37 projects
• 14. variance_scaling_initializer()    
  Used in 36 projects
• 15. assign_from_checkpoint_fn()    
  Used in 32 projects
• 16. separable_conv2d()    
  Used in 30 projects
• 17. model_variable()    
  Used in 29 projects
• 18. one_hot_encoding()    
  Used in 24 projects
• 19. get_or_create_global_step()    
  Used in 20 projects
• 20. softmax()    
  Used in 19 projects
• 21. variable()    
  Used in 19 projects
• 22. conv2d_in_plane()    
  Used in 18 projects
• 23. xavier_initializer()    
  Used in 17 projects
• 24. layer_norm()    
  Used in 16 projects
• 25. assign_from_checkpoint()    
  Used in 16 projects
• 26. add_arg_scope()    
  Used in 13 projects
• 27. create_global_step()    
  Used in 10 projects
• 28. get_variables()    
  Used in 9 projects
• 29. get_trainable_variables()    
  Used in 9 projects
• 30. xavier_initializer_conv2d()    
  Used in 7 projects
• 31. separable_convolution2d()    
  Used in 6 projects
• 32. convolution2d()    
  Used in 5 projects