Deep Learning, an introduction with two nice short examples

By Roland Büchi

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.

• Format: Paperback
• Language: English
• ISBN: 3756832635
• ISBN13: 9783756832637
• Release Date: September 2022
• Publisher: Bod - Books on Demand
• Length: 26 Pages
• Weight: 0.10 lbs.
• Dimensions: 0.1" x 5.8" x 8.3"