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, |
|---|---|
| Other Authors: | SpringerLink (Online Service) |
| Format: | eBook |
| Language: | English |
| Published: |
[United States] :
Apress,
2018.
Distributed to the Book trade worldwide by Springer. |
| Physical Description: |
1 online resource. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |