Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks /
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You'll begin by studying the activation functions mostly with a sing...
| Main Author: | Michelucci, Umberto (Author, http://id.loc.gov/vocabulary/relators/aut) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2018.
|
| Edition: | 1st ed. 2018. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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