Python tensorflow.contrib.seq2seq Module

This page shows the popular functions and classes defined in the tensorflow.contrib.seq2seq 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. AttentionWrapper()    
  Used in 20 projects
• 2. dynamic_decode()    
  Used in 18 projects
• 3. BahdanauAttention()    
  Used in 15 projects
• 4. Helper()    
  Used in 14 projects
• 5. BasicDecoder()    
  Used in 14 projects
• 6. LuongAttention()    
  Used in 11 projects
• 7. tile_batch()    
  Used in 11 projects
• 8. BeamSearchDecoder()    
  Used in 10 projects
• 9. TrainingHelper()    
  Used in 9 projects
• 10. GreedyEmbeddingHelper()    
  Used in 8 projects
• 11. AttentionWrapperState()    
  Used in 5 projects