Transformers and Positional Embedding: A Step-by-Step NLP Tutorial for Mastery

Author(s): Rokas Liuberskis

Originally published on Towards AI.

CNNs and RNNs vs. Transformers

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https://www.youtube.com/embed/S_PqkxUP2PY

I am starting a new tutorial series about Transformers. I’ll implement them step-by-step in TensorFlow, explaining all the parts. All created layers will be included in Machine Learning Training Utilities (“mltu” PyPi library), so they can be easily reused in other projects.

At the end of these tutorials, I’ll create practical examples of training and using Transformer in NLP tasks.

In this tutorial, I’ll walk through the steps to implement the Transformer model from “Attention is All You Need” paper for the machine translation task. The model is based on the… Read the full blog for free on Medium.

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Published via Towards AI