Advanced NLP: Language Translation Using Transformer Model

Translating from one language to another is a common task in Natural Language Processing (NLP). The transformer model works by passing multiple words through a neural network simultaneously and is one of the newest models propelling a surge of progression sometimes referred to as transformer AI. In this course you will solve real-world machine translation problems translating from English to French. Explore machine translation problem formulation notebook setup and data pre-processing. Then learn to tokenize and vectorize data into a sequence of integers where each integer represents the index of a word in a vocabulary. Discover transformer encoder-decoder and see how to produce input and output sequences. Finally define the attention layer and assemble train and evaluate the translation model end to end. Upon completing this course you will be able to solve industry-level problems using deep learning methodology in the TensorFlow ecosystem.