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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