Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

© Pramod Singh, Avinash Manure 2020

P. Singh, A. ManureLearn TensorFlow 2.0https://doi.org/10.1007/978-1-4842-5558-2_3

3. Neural Networks and Deep Learning with TensorFlow

Pramod Singh¹  and Avinash Manure²

(1)

Bangalore, Karnataka, India

(2)

Bangalore, India

 

This chapter focuses on neural networks and how we can build them to perform machine learning, by closely mimicking the human brain. We will start by determining what neural networks are and how similarly they are structured to the neural network in humans. Then, we will deep dive into the architecture of neural networks, exploring the different layers within. We will explain how a simple neural network is built and delve into the concepts of forward and backward propagation. Later, we will build ...