Build a Deep Learning Model That Can Lip Read Using Python and Tensorflow

Develop a deep learning model capable of lip reading using Python and TensorFlow in this comprehensive tutorial video. Learn to construct a machine learning model that interprets visual speech, implementing techniques from the original LipNet paper. Explore key concepts in audio-visual speech recognition, including data preparation, model architecture, and training processes. Gain hands-on experience with TensorFlow's data API and Keras for building and training the lip-reading model. Access provided resources such as source code, research papers, and additional learning materials to further enhance your understanding of this cutting-edge application of deep learning in speech recognition technology.

Build a Deep Learning Model that can LIP READ using Python and Tensorflow | Full Tutorial