Applied deep learning : a case-based approach to understanding deep neural networks / Umberto Michelucci.
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 single ne...
Saved in:
Online Access: |
Full Text (via Springer) |
---|---|
Main Author: | |
Format: | eBook |
Language: | English |
Published: |
[United States] :
Apress,
2018.
|
Subjects: |
Internet
Full Text (via Springer)Online
Call Number: |
Q325.5
|
---|---|
Q325.5 | Available |