Deep Learning with TensorFlow 2 and Keras - Second Edition

2

TensorFlow 1.x and 2.x

The intent of this chapter is to explain the differences between TensorFlow 1.x and TensorFlow 2.0. We'll start by reviewing the traditional programming paradigm for 1.x and then we'll move on to all the new features and paradigms available in 2.x.

Understanding TensorFlow 1.x

It is generally the tradition that the first program one learns to write in any computer language is "hello world." We maintain the convention in this book! Let's begin with a Hello World program:

import tensorflow as tf
message = tf.constant('Welcome to the exciting world of Deep Neural Networks!')
with tf.Session() as sess:
    print(sess.run(message).decode())

Let us go in depth into this simple code. The first line imports tensorflow. The second ...