Search Torrents
|
Browse Torrents
|
48 Hour Uploads
|
TV shows
|
Music
|
Top 100
Audio
Video
Applications
Games
Porn
Other
All
Music
Audio books
Sound clips
FLAC
Other
Movies
Movies DVDR
Music videos
Movie clips
TV shows
Handheld
HD - Movies
HD - TV shows
3D
Other
Windows
Mac
UNIX
Handheld
IOS (iPad/iPhone)
Android
Other OS
PC
Mac
PSx
XBOX360
Wii
Handheld
IOS (iPad/iPhone)
Android
Other
Movies
Movies DVDR
Pictures
Games
HD - Movies
Movie clips
Other
E-books
Comics
Pictures
Covers
Physibles
Other
Details for:
Ferlitsch A. Deep Learning Patterns and Practices 2021
ferlitsch deep learning patterns practices 2021
Type:
E-books
Files:
1
Size:
13.4 MB
Uploaded On:
Sept. 25, 2021, 8:19 a.m.
Added By:
andryold1
Seeders:
1
Leechers:
0
Info Hash:
5FD5299170DB0CF2CC0DFBD1FB73647103BDC4FE
Get This Torrent
Textbook in PDF format 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 challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You’ll build your skills and confidence with each interesting example. About the book Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects. What's inside Modern convolutional neural networks Design pattern for CNN architectures Models for mobile and IoT devices Large-scale model deployments Examples for computer vision About the reader For machine learning engineers familiar with Python and deep learning. About the author Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations
Get This Torrent
Ferlitsch A. Deep Learning Patterns and Practices 2021.pdf
13.4 MB