Items related to Deep Learning Patterns and Practices
Synopsis
Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production.
In Deep Learning Patterns and Practices you will learn:
Internal functioning of modern convolutional neural networks
Procedural reuse design pattern for CNN architectures
Models for mobile and IoT devices
Assembling large-scale model deployments
Optimizing hyperparameter tuning
Migrating a model to a production environment
The big...
About the Author
Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations. He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles. In his present role, he reaches out to developer communities, corporations and universities, teaching deep...
"About this title" may belong to another edition of this title.
- PublisherManning
- Publication date2021
- ISBN 10 1617298263
- ISBN 13 9781617298264
- BindingPaperback
- LanguageEnglish
- Number of pages472
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