© V Kishore Ayyadevara 2018
V Kishore AyyadevaraPro Machine Learning Algorithms https://doi.org/10.1007/978-1-4842-3564-5_7

7. Artificial Neural Network

V Kishore Ayyadevara1 
(1)
Hyderabad, Andhra Pradesh, India
 
Artificial neural network is a supervised learning algorithm that leverages a mix of multiple hyper-parameters that help in approximating complex relation between input and output. Some of the hyper-parameters in artificial neural network include the following:

  • Number of hidden layers

  • Number of hidden units

  • Activation function

  • Learning rate

In this chapter, you will learn the following:

  • Working details of neural networks

  • The impact of various hyper-parameters on neural networks

  • Feed-forward and back propagation

  • The impact of learning rate on weight ...

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