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Getting Started with NLP Deep Learning Using PyTorch 1 and fastai 1

by Gianni Rosa Gallina

This course will teach you how to start using fastai library and PyTorch to obtain near-state-of-the-art results with Deep Learning NLP for text classification. It will give you a theoretical background and show how to take models to production.

What you'll learn

In this course, Getting Started with NLP Deep Learning Using PyTorch and fastai, we'll have a look at the amazing fastai library, built on top of the PyTorch Deep Learning Framework, to learn how to perform Natural Language Processing (NLP) with Deep Neural Networks, and how to achieve some of the most recent state-of-the-art results in text classification.

First, we’ll learn how to train a model for text classification very quickly, thanks to the fastai library and transfer learning. Next, we'll explore some of the theory behind Deep Learning NLP techniques, and how to deploy our models to production in Microsoft Azure. Finally, we’ll discover how to train a custom language model from scratch.

When you’re finished with this course, you’ll know why fastai and PyTorch are great frameworks, how to train deep learning models for NLP tasks on your own datasets, and how to bring them to production.

Table of contents

Course Overview
Recapping and Next Steps

About the author

Gianni is an R&D Technical Lead in Deltatre's Innovation Lab, based in Italy, designing and prototyping next-generation solutions for sport-related experiences and services, from VR/MR apps to end-to-end Azure architectures, passing by Cognitive Services, AI, and much more. Gianni has been a Microsoft MVP since 2011, focused on emerging technologies, AI and Virtual/Augmented/Mixed Reality since 2013. Besides that, he's an active member of the local community, "Torino Technologies Group" (TTG),... more

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