How to Code a Machine Learning Lip Reading App with Python Tensorflow and Streamlit
Offered By: Nicholas Renotte via YouTube
Course Description
Overview
Learn to build a machine learning lip reading application using Python, TensorFlow, and Streamlit in this 45-minute tutorial video. Explore the implementation of a Connectionist Temporal Classification (CTC) model for lip reading, and gain hands-on experience in developing a full-stack machine learning project. Access the source code on GitHub and dive into additional resources, including a CTC blog post for deeper understanding. Follow along as Nicholas Renotte guides you through the process, from data preparation to model training and deployment, culminating in a functional lip reading app.
Syllabus
How to Code a Machine Learning Lip Reading App with Python Tensorflow and Streamlit
Taught by
Nicholas Renotte
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent