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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

De (autor): Daniel A. Roberts

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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks - Daniel A. Roberts

The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks

De (autor): Daniel A. Roberts

review Goodreads
Yaida, Sho: - Sho Yaida is a research scientist at Meta AI. Prior to joining Meta AI, he obtained his PhD in physics at Stanford University and held postdoctoral positions at MIT and at Duke University. At Meta AI, he uses tools from theoretical physics to understand neural networks, the topic of this book.
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Yaida, Sho: - Sho Yaida is a research scientist at Meta AI. Prior to joining Meta AI, he obtained his PhD in physics at Stanford University and held postdoctoral positions at MIT and at Duke University. At Meta AI, he uses tools from theoretical physics to understand neural networks, the topic of this book.
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