Skip to Content
40 Algorithms Every Programmer Should Know
book

40 Algorithms Every Programmer Should Know

by Imran Ahmad
June 2020
Intermediate to advanced
382 pages
11h 39m
English
Packt Publishing
Content preview from 40 Algorithms Every Programmer Should Know

Training a Neural Network

The process of building a neural network using a given dataset is called training a neural network. Let's look into the anatomy of a typical neural network. When we talk about training a neural network, we are talking about calculating the best values for the weights. The training is done iteratively by using a set of examples in the form of training data. The examples in the training data have the expected values of the output for different combinations of input values. The training process for neural networks is different from the way traditional models are trained (which were discussed in Chapter 7, Traditional Supervised Learning Algorithms).

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

50 Algorithms Every Programmer Should Know - Second Edition

50 Algorithms Every Programmer Should Know - Second Edition

Imran Ahmad
Grokking Algorithms

Grokking Algorithms

Aditya Bhargava

Publisher Resources

ISBN: 9781789801217Supplemental Content