TF 2.0 introduces tighter-than-before coupling with Keras, especially for the high-level APIs. If you are starting out with building neural network-based models in TensorFlow, it is recommended that you start with Keras. In a nutshell, Keras exposes user-friendly APIs for performing common tasks such as loading data, constructing models, training models, evaluating models, running models, and loading and saving previous models. An important factor contributing to its flexibility is that it allows you to seamlessly operate at varying levels of abstraction.
Diving deep into the Keras API
What is Keras?
Keras is a popular high-level API for building and training deep learning models. At its core, Keras is a high-level neural...
