Grokking Deep Learning
Andrew W Trask
From PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
AbeBooks Seller since June 11, 1999
New - Soft cover
Quantity: 15 available
Add to basketFrom PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
AbeBooks Seller since June 11, 1999
Quantity: 15 available
Add to basketAbout this Item
New Book. Shipped from UK. Established seller since 2000. Seller Inventory # PB-9781617293702
Bibliographic Details
Title: Grokking Deep Learning
Publisher: Pearson Education
Publication Date: 2019
Binding: PAP
Condition: New
About this title
Summary
Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning.
About the Book
Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks.
What's inside
About the Reader
For readers with high school-level math and intermediate programming skills.
About the Author
Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform.
Table of Contents
Andrew Trask is a PhD student at Oxford University, funded by the Oxford-DeepMind Graduate Scholarship, where he researches Deep Learning approaches with special emphasis on human language. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning where he trained the world's largest artificial neural network with over 160 billion parameters, and helped guide the analytics roadmap for the Synthesys cognitive computing platform which tackles some of the most complex analysis tasks across government intelligence, finance, and healthcare industries.
"About this title" may belong to another edition of this title.
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