Working with the basic building blocks of the Keras API

Keras is the official high-level API for TensorFlow 2.x and its use is highly encouraged for both experimental and production-ready code. Therefore, in this first recipe, we'll review the basic building blocks of Keras by creating a very simple fully connected neural network.

Are you ready? Let's begin!

Getting ready

At the most basic level, a working installation of TensorFlow 2.x is all you need.

How to do it…

In the following sections, we'll go over the sequence of steps required to complete this recipe. Let's get started:

1. Import the required libraries from the Keras API:

   from sklearn.model_selection import train_test_split
   from sklearn.preprocessing import LabelBinarizer
   from tensorflow.keras import Input
   from tensorflow.keras.datasets import mnist
   from tensorflow.keras.layers import Dense
   from tensorflow.keras.models import Model
   from tensorflow.keras.models import Sequential...