Feed-Forward Neural Networks
Feed-forward neural networks were the earliest implementations within deep learning. These networks are called feed-forward because the information within them moves only in one direction (forward)—that is, from the input nodes (units) towards the output units. In this chapter, we will cover some ke...
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| Vydáno v: | Deep Learning with Python s. 1 |
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| Hlavní autoři: | , |
| Médium: | Kapitola |
| Jazyk: | angličtina |
| Vydáno: |
United States
Apress, an imprint of Springer Nature
2021
Apress L. P Apress |
| Vydání: | 2nd Edition |
| Témata: | |
| ISBN: | 9781484253632, 1484253639 |
| On-line přístup: | Získat plný text |
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- 3.1 What is a Neural Network? 3.2 Deriving Cost Functions Using Maximum Likelihood 3.3 Types of Activation Functions 3.4 Backpropagation 3.5 Practical Implementation with PyTorch 3.6 Summary