Getting Started with NLP Deep Learning Using PyTorch and fastai

Overview

Embark on your Deep Learning journey in the field of Natural Language Processing (NLP) with our comprehensive course using fastai and PyTorch. This course is designed for those looking to harness the power of NLP Deep Learning with state-of-the-art results in text classification.

Utilizing the fastai library atop the robust PyTorch Deep Learning Framework, our course delivers a blend of theoretical knowledge and practical skills.

Discover how to swiftly train a model for text classification leveraging fastai’s streamlined processes and the advantages of transfer learning. Dive deep into the theories that underpin Deep Learning NLP techniques and learn the steps to deploy your models into production environments, specifically focusing on Microsoft Azure.

Moreover, we offer a unique opportunity to train a custom language model from the ground up, ensuring a comprehensive understanding of NLP Deep Learning.

By the end of this course, you’ll gain insight into why fastai and PyTorch are leading frameworks in the industry, master training deep learning models for NLP tasks on diverse datasets, and achieve proficiency in transitioning models from development to production seamlessly.

Offered by Pluralsight, this course is categorized under Deep Learning Courses, Natural Language Processing (NLP) Courses, and PyTorch Courses, making it an ideal choice for students and professionals eager to expand their knowledge in these domains.

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Taught by

Gianni Rosa Gallina

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Subjects