Put another way, you write Keras code using Python. The Keras code calls into the TensorFlow library, which does all the work. In Keras terminology, TensorFlow is the called backend engine.

Models are defined in Python code, not separate model configuration files. Why Keras? The biggest reasons to use Keras stem from its guiding principles, primarily the one about being user friendly.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.