Explore natural language processing workflows using Keras in this 41-minute tutorial led by Matthew Watson and Chen Qian from HuggingFace. Dive into various NLP techniques, including text vectorization, bag of words models, bigram models, integer index models, and recurrent models. Follow along with provided Colab notebooks to gain hands-on experience implementing these concepts. Learn from Matthew's interdisciplinary background in computer graphics and NLP, and Chen's expertise in simplifying machine learning implementations. Discover the future of Keras and how it can make NLP more accessible to a wider audience.
Overview
Syllabus
Introduction
Keras Overview
My Side of the Talk
Text Vectorization Layer
Bag of Words Model
Code Walkthrough
Bigram Model
Integer Index Model
Recurrent Model
Summary
Code
Questions
Future of Keras
Taught by
Hugging Face
