Introduction
Why Neural Machine Translation?
Borrowing from image recognition techniques
Overview of the Torch and Caffe2 projects
Overview of a Convolutional Neural Machine Translation model
Convolutional Sequence to Sequence Learning
Convolutional Encoder Model for Neural Machine Translation
Standard LSTM-based model
Overview of training approaches
About GPUs and CPUs
Fast beam search generation
Installation and setup
Evaluating pre-trained models
Preprocessing your data
Training the model
Translating
Converting a trained model to use CPU-only operations
Joining to the community
Closing remarks
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總部李老師
