Python tflearn Module

This page shows the popular functions and classes defined in the tflearn 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. DNN    
  Used in 33 projects
• 2. input_data()    
  Used in 23 projects
• 3. fully_connected()    
  Used in 22 projects
• 4. regression()    
  Used in 19 projects
• 5. data_utils()    
  Used in 12 projects
• 6. conv_2d()    
  Used in 8 projects
• 7. datasets()    
  Used in 8 projects
• 8. is_training()    
  Used in 7 projects
• 9. lstm()    
  Used in 6 projects
• 10. dropout()    
  Used in 6 projects
• 11. data_augmentation()    
  Used in 5 projects
• 12. max_pool_2d()    
  Used in 5 projects
• 13. data_preprocessing()    
  Used in 5 projects
• 14. embedding()    
  Used in 5 projects