Multi-Backend Deep Learning with Keras

This course is designed for developers who want to integrate machine learning into their Python projects. It offers a high-level intuitive understanding of deep learning fundamentals and guides you through coding and training models using Multi-Backend Keras (formerly known as Keras Core)—a new version of Keras that allows users to interact with different popular backend frameworks such as TensorFlow, PyTorch, and JAX. After a brief demonstration of the Keras API, we'll go over what neural networks are and the principles behind training and evaluating them. Next, you'll learn how to leverage powerful deep learning frameworks through the user-friendly Multi-Backend Keras abstraction. Finally, you'll build your own increasingly-complex Keras image classifiers for a self-driving car use case.