Keras is a high-level framework that can be used to build neural networks. It is written in Python and provides numerous APIs and modules for defining, building, and training neural networks with ease. It can use multiple platforms, such as TensorFlow, in its backend.
TensorFlow is an open source library developed by Google for machine learning model building and deployment. It provides several low-level controls as well.
Keras provides a wrapper around frameworks such as TensorFlow and hides low-lying implementations that let developers concentrate on solving problems using deep learning by taking care of all internal implementations and interfacing with backend frameworks, such as TensorFlow.
A neural network can be envisioned as a computational graph in which layers are stacked. Keras provides an interface to build these stacks of layers. The simplest among these is the sequential model, which is nothing but a linear stack of layers. It can be imported and instantiated...