Deep Learning, an introduction with two nice short examples

This booklet introduces the most important basics of deep learning. It describes the very frequently used method of how a computer can learn using neural networks and training data and apply what it has learned to other questions similar to the training data. Two simple about 'one-pager' examples in Python show how training a neural network with forward and back propagation works and how the trained system can process simple forms of artificial thinking. The two short Python programs "Learning truth tables" and "Recognizing a questionnaire" are printed in full and are easy to follow.

• | Author: Roland Büchi
• | Publisher: Books on Demand
• | Publication Date: Sep 23, 2022
• | Number of Pages: 26 pages
• | Language: English
• | Binding: Paperback/Computers
• | ISBN-10: 3756832635
• | ISBN-13: 9783756832637