Deep Learning: Natural Language Processing with Transformers

About this course

Deep Learning is a hot topic today! This is because of the impact it's having in several industries. One of the fields in which deep learning has the most influence today is Natural Language Processing.

To understand why Deep Learning based Natural Language Processing is so popular; it suffices to take a look at the different domains where giving a computer the power to understand and make sense out of text and generate text has changed our lives.

Some applications of Natural Language Processing are in:

• Helping people around the world learn about any topic ChatGPTHelping developers code more efficiently with Github Copilot.
• Automatic topic recommendation in our Twitter feeds
• Automatic Neural Machine Translation with Google TranslateE-commerce search engines like those of AmazonCorrection of Grammar with Grammarly

The demand for Natural Language Processing engineers is skyrocketing and experts in this field are highly paid, because of their value. However, getting started in this field isn’t easy. There’s so much information out there, much of which is outdated and many times don't take the beginners into consideration :(In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step and project-based approach. You shall be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and Huggingface transformers (most popular NLP focused library ). We shall start by understanding how to build very simple models (like Linear regression model for car price prediction and RNN text classifiers for movie revi

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