How to Code a Machine Learning Lip Reading App with Python Tensorflow and Streamlit

How to Code a Machine Learning Lip Reading App with Python Tensorflow and Streamlit

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.