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Neural Networks and Deep Learning: A Textbook

4.36  ·  Rating details ·  14 ratings  ·  2 reviews
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural network ...more
Hardcover, 524 pages
Published September 30th 2018 by Springer
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Scott Holstad
Apr 06, 2020 rated it really liked it
Shelves: science, technology
Pretty solid work, possibly impressive even. I've not actually delved too deeply into this subject, but from what I have read, I thought this book was definitely among the best I've encountered so far. Recommended.
Brian Powell
May 27, 2020 rated it really liked it
Shelves: machine-learning
Some good topics and fairly clear explanations but goddam this dude can ramble.
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