Natural Language Processing with TensorFlow 2 - Beginner's Course

From the creator

This course is a practical introduction to natural language processing with TensorFlow 2.0. In this tutorial you will go from having zero knowledge to writing an artificial intelligence that can compose Shakespearean prose. No prior experience with deep learning is required, though it is always helpful to have more background information. We’ll use a combination of embedding layers, recurrent neural networks, and fully connected layers to perform the classification. ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️Course Contents ⭐️ ⌨️ (01:16) Getting Started with Word Embeddings ⌨️ (33:25) How to Perform Sentiment Analysis on Movie Reviews ⌨️ (59:32) Let’s Write An AI That Writes Shakespeare ⭐️Course Description ⭐️ The basic idea behind natural language processing is that we start out with words, i.e. strings of characters, that are almost impossible for the computer to meaningfully parse. We can transform these strings into a vector in a higher dimensional space. Different words will be represented as vectors of different lengths and directions in this space, and this allows us to find relationships between words by finding the component of one vector along another. Don’t worry, the TensorFlow library handles all of this, we just have to have some basic idea of how it works. Since this is a type of supervised learning, we also have labels for our text.

Published 2020-01-29 · Watch on YouTube ↗
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