Code .<p><b>Get a head start in the world of AI and deep learning by developing your skills with PyTorch</b></p><h4>Key Features</h4><ul><li>Learn how to define your own network architecture in deep learning</li><li>Implement helpful methods to create and train a model using PyTorch syntax</li><li>D
Deep Learning With Pytorch. Code
โ Scribed by Eli Stevens, Luca Antiga, Thomas Viehmann
- Publisher
- Manning Pubns Co
- Year
- 2021
- Tongue
- English
- Leaves
- 450
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Code .
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated.
Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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