NMT-Keras
Installation
Requirements
Usage
Training
Decoding
Scoring
Configuration options
Naming and experiment setup
Input/output
Evaluation
Decoding
Search normalization
Sampling
Unknown words treatment
Word representation
Text representation
Input text
Output text
Optimization
Optimizer setup
Advanced parameters for optimizers
Learning rate schedule
Training options
Early stop
Model main hyperparameters
Source word embeddings
Target word embedding
Deepness
AttentionRNNEncoderDecoder model
Encoder configuration
Decoder configuration
Transformer model
Regularizers
Regularization functions
Dropout
Gaussian noise
Batch normalization
Additional normalization layers
Tensorboard
Storage and plotting
Resources
Theoretical NMT
NMT-Keras Step-by-step
NMT-Keras Output
Tensorboard integration
Loss curve
Model graphs
Embedding visualization
Tutorials
Dataset tutorial
Training tutorial
Decoding tutorial
NMT model tutorial
NMT models for decoding
Modules
nmt_keras package
Submodules
model_zoo
training
apply_model
build_callbacks
Module contents
data_engine package
Submodules
prepare_data module
Module contents
utils package
Submodules
evaluate_from_file module
preprocess_binary_word_vectors module
preprocess_text_word_vectors module
utils module
Module contents
Contact
Acknowledgement
Related projects
NMT-Keras
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Modules
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nmt_keras package
Submodules
model_zoo
training
apply_model
build_callbacks
Module contents
data_engine package
Submodules
prepare_data module
Module contents
utils package
Submodules
evaluate_from_file module
preprocess_binary_word_vectors module
preprocess_text_word_vectors module
utils module
Module contents
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