项目作者： sangeetsaurabh
项目描述 ：
Language Translation using Sequence to Sequence Recurrent Neural Network
高级语言： Jupyter Notebook
项目地址: git://github.com/sangeetsaurabh/Language-Translation.git
Language-Translation
Language Translation using Sequence to Sequence Recurrent Neural Network
Sequence to sequence neural network is used for machine translation. A sequence to sequence model is trained on a dataset
of English and French sentences that can translate new sentences from English to French.
Neural Network is built following ways -
- Apply embedding to the input data for the encoder.
- Encode the input using your encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob).
- Process target data using your process_decoding_input(target_data, target_vocab_to_int, batch_size) function.
- Apply embedding to the target data for the decoder.
- Decode the encoded input using your decoding_layer(dec_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size, num_layers, target_vocab_to_int, keep_prob).
