Introduction and setup of Keras

If you search on the internet for sample TensorFlow code, you will find that it may not be super easy to understand or follow. You can find tutorials for beginners but, in reality, things can get complicated very easily and editing someone else's code can be very difficult. Keras comes as an API solution to develop deep learning Tensorflow model prototypes with relative ease. In fact, Keras supports running not only on top of TensorFlow, but also over CNTK and Theano.

We can think of Keras as an abstraction to actual TensorFlow models and methods. This symbiotic relationship has become so popular that TensorFlow now unofficially encourages its use for those who are beginning to use TensorFlow. Keras is very user friendly, it is easy to follow in Python, and it is easy to learn in a general sense.

Setup

To set up Keras on your Colab, do the following:

1. Run the following command:

!pip install keras

2. The system will proceed to install the necessary libraries...