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Beschreibung
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.
Details
| Verlag | BoD – Books on Demand |
| Ersterscheinung | 23. September 2022 |
| Maße | 22 cm x 15.5 cm x 0.3 cm |
| Gewicht | 56 Gramm |
| Format | Softcover |
| ISBN-13 | 9783756832637 |
| Auflage | 1. Auflage |
| Seiten | 24 |
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