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Inside Deep Learning: Math, Algorithms, Models (Final Release)
Edward Raff你有多喜歡這本書?
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Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning. Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. Inside Deep Learning is a fast-paced beginner's guide to solving common technical problems with deep learning. Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning. You’ll learn how deep learning works through plain language, annotated code, and equations as you work through dozens of instantly useful PyTorch examples. As you go, you’ll build a French-English translator that works on the same principles as professional machine translation, and discover cutting-edge techniques just emerging from the latest research. Best of all, every deep learning solution in this book can run in less than fifteen minutes using free GPU hardware!
What's inside
• Select the right deep learning components
• Train and evaluate a deep learning model
• Fine tune deep learning models to maximize performance
• Understand deep learning terminology
What's inside
• Select the right deep learning components
• Train and evaluate a deep learning model
• Fine tune deep learning models to maximize performance
• Understand deep learning terminology
年:
2022
出版商:
Manning Publications
語言:
english
頁數:
602
ISBN 10:
1617298638
ISBN 13:
9781617298639
文件:
PDF, 78.24 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2022
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