Deep Learning with PyTorch
- Downloads：1665
- Type：Epub+TxT+PDF+Mobi
- Create Date：2021-06-05 06:51:17
- Update Date：2025-09-06
- Status：finish
- Author：Eli Stevens
- ISBN：1617295264
- Environment：PC/Android/iPhone/iPad/Kindle
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Summary
Every other day we hear about new ways to put deep learning to good use: improved medical imaging， accurate credit card fraud detection， long range weather forecasting， and more。 PyTorch puts these superpowers in your hands， providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated。 Deep Learning with PyTorch will make that journey engaging and fun。
Reviews
Tolga Karahan
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It's a good book if you're a beginner， so I just skipped basic stuff and only read parts that most interested me。 If you a beginner to Deep Learning， and PyTorch it's a useful book。 It's a good book if you're a beginner， so I just skipped basic stuff and only read parts that most interested me。 If you a beginner to Deep Learning， and PyTorch it's a useful book。 。。。more
bimri
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My best word on this， is this， part II of the book will build your intuitions on deep learning like no other book - I have encountered（I've been around the block）。 The lung cancer case study really does a number on your brain。。。 you trying to dissect ways on how to build a model（s） for detecting nodules on relatively huge dimension spaces。 Which also led me to respect the work of radiologists。 It's no small feat to recognize "these needles in haystacks"。 Chances of a deep learning model to accom My best word on this， is this， part II of the book will build your intuitions on deep learning like no other book - I have encountered（I've been around the block）。 The lung cancer case study really does a number on your brain。。。 you trying to dissect ways on how to build a model（s） for detecting nodules on relatively huge dimension spaces。 Which also led me to respect the work of radiologists。 It's no small feat to recognize "these needles in haystacks"。 Chances of a deep learning model to accomplish this with orders of magnitude search spaces: is what lead me into this field in the first place。 This book does a very decent job to make sure you get the lay of the land。 And， how to go around making meaningful explorations on your own。 If not to educate you; it does also show the complexity of real world problems。 It's such a hustle - from the context of this challenge put forth on the book。 On the other hand: it only focuses on CNNs - so if you came to this book as a novice - I'd shun from the urge to begin reading it。 It requires some intermediate levels of machine learning or deep learning; in order to appreciate its power。With that said， I would be looking forward to the second edition; in order to get more insights to what is to come from its part III revamped （that is the section dealing with deployment）。 It was a little bit underwhelming knowing that there's more to be done in this space！Things that didn't get lost on me: 1。 The jokes（they were spot on！）， 2。 The illustrations at the beginning of every chapter（these were priceless - they really strengthen your intuitions & help with your grasp of the knowledge data points！）， 3。 The emphasis side note on discrimination（"racism is learnt！" the authors didn't have to point that one out - based on the context of that subject matter in that section - but all the same went a long way to hold a stand with the Black Lives Matter movement。） That was quite something！ 。。。more
Yousef
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Loved it。 Cannot wait for the authors' next book， especially one with recipes and techniques alluded to in the end。 Loved it。 Cannot wait for the authors' next book， especially one with recipes and techniques alluded to in the end。 。。。more
Paolo Quadri
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End to end guide to Pytorch， from tensor basics to production
Silentroar
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Four stars cause the complete version has not been published。
Hannah
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