MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz, 2 Ch
Language: English | Size: 8.26 GB | Duration: 6h 49m
Learn the main concepts and techniques used in modern machine learning and deep neural networks through numerous examples written in PyTorch
OverviewThis course begins with the basic concepts of machine and deep learning. Subsequently, you gain a reasonable familiarity with the main features of PyTorch and learn how it can be applied to some popular problem domains.
Learn How To
Apply various machine and deep learning techniques
Understand the difference between various machine and deep learning libraries
Create classifiers
Enhance an existing classifier
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https://rapidgator.net/file/cb97ff34c31509207f2b2429a5c14502/ru33m.Machine.Learning.with.PyTorch.part01.rar.html
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https://nitroflare.com/view/1B19029C26FE908/ru33m.Machine.Learning.with.PyTorch.part09.rar
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