
Inside Deep Learning: Math, Algorithms, Models (Final Release) (sách keo gáy bìa mềm)
Thể loại:Computers - Artificial Intelligence (AI)
Năm:2022
Nhà xuát bản:Manning Publications
Ngôn ngữ:english
Trang:602
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