Keras as a High-Level API

In TensorFlow 1.0, there were several APIs, such as Estimator, Contrib, and layers. In TensorFlow 2.0, Keras is very tightly integrated with TensorFlow, and it provides a high-level API that is user-friendly, modular, composable, and easy to extend in order to build and train deep learning models. This also makes developing code for neural networks much easier. Let's see how it works.

Exercise 2.05: Binary Classification Using Keras

In this exercise, we will implement a very simple binary classifier with a single neuron using the Keras API. We will use the same data.csv file that we used in Exercise 2.02, Perceptron as a Binary Classifier:

Note

The dataset can be downloaded from GitHub by accessing the following GitHub link: https://packt.live/2BVtxIf.

1. Import the required libraries:

   import tensorflow as tf
   import pandas as pd
   import matplotlib.pyplot as plt
   %matplotlib inline
   # Import Keras libraries
   from tensorflow.keras.models import...