Python tensorflow.python.training.training_ops Module

This page shows the popular functions and classes defined in the tensorflow.python.training.training_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. apply_rms_prop()    
  Used in 11 projects
• 2. apply_adam()    
  Used in 10 projects
• 3. resource_apply_adam()    
  Used in 6 projects
• 4. apply_momentum()    
  Used in 6 projects
• 5. sparse_apply_momentum()    
  Used in 6 projects
• 6. apply_gradient_descent()    
  Used in 6 projects
• 7. apply_ftrl()    
  Used in 5 projects
• 8. sparse_apply_adadelta()    
  Used in 5 projects
• 9. sparse_apply_centered_rms_prop()    
  Used in 5 projects
• 10. apply_proximal_adagrad()    
  Used in 5 projects
• 11. sparse_apply_ftrl()    
  Used in 5 projects
• 12. sparse_apply_adagrad()    
  Used in 5 projects
• 13. apply_proximal_gradient_descent()    
  Used in 5 projects
• 14. apply_adagrad_da()    
  Used in 5 projects
• 15. apply_centered_rms_prop()    
  Used in 5 projects
• 16. resource_apply_gradient_descent()    
  Used in 5 projects
• 17. sparse_apply_proximal_gradient_descent()    
  Used in 5 projects
• 18. sparse_apply_rms_prop()    
  Used in 5 projects
• 19. sparse_apply_adagrad_da()    
  Used in 5 projects
• 20. apply_adadelta()    
  Used in 5 projects
• 21. apply_adagrad()    
  Used in 5 projects
• 22. sparse_apply_proximal_adagrad()    
  Used in 5 projects