Deep Learning, an introduction with two nice short examples

Roland Büchi (Autor)

Buch | Softcover

24 Seiten

2022
BoD – Books on Demand (Verlag)
978-3-7568-3263-7 (ISBN)

Artikel merken

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.

Erscheinungsdatum	24.09.2022
Sprache	englisch
Maße	155 x 220 mm
Gewicht	56 g
Themenwelt	Mathematik / Informatik ► Informatik
Schlagworte	Artificial Intelligence • Back propagation • Deep learning • machine learning • Python
ISBN-10	3-7568-3263-5 / 3756832635
ISBN-13	978-3-7568-3263-7 / 9783756832637
Zustand	Neuware