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Grokking Deep Studying teaches you to construct deep studying neural networks from scratch! In his partaking type, seasoned deep studying skilled Andrew Trask reveals you the science below the hood, so that you grok for your self each element of coaching neural networks.
Buy of the print guide features a free eBook in PDF, Kindle, and ePub codecs from Manning Publications.
Concerning the Know-how
Deep studying, a department of synthetic intelligence, teaches computer systems to study by utilizing neural networks, expertise impressed by the human mind. On-line textual content translation, self-driving automobiles, customized product suggestions, and digital voice assistants are only a few of the thrilling fashionable developments potential because of deep studying.
Concerning the Guide
Grokking Deep Studying teaches you to construct deep studying neural networks from scratch! In his partaking type, seasoned deep studying skilled Andrew Trask reveals you the science below the hood, so that you grok for your self each element of coaching neural networks. Utilizing solely Python and its math-supporting library, NumPy, you may practice your personal neural networks to see and perceive photos, translate textual content into completely different languages, and even write like Shakespeare! While you’re finished, you may be totally ready to maneuver on to mastering deep studying frameworks.
What’s inside
The science behind deep learningBuilding and coaching your personal neural networksPrivacy ideas, together with federated learningTips for persevering with your pursuit of deep studying
Concerning the Reader
For readers with excessive school-level math and intermediate programming abilities.
Concerning the Creator
Andrew Trask is a PhD scholar at Oxford College and a analysis scientist at DeepMind. Beforehand, Andrew was a researcher and analytics product supervisor at Digital Reasoning, the place he skilled the world’s largest synthetic neural community and helped information the analytics roadmap for the Synthesys cognitive computing platform.
Desk of Contents
Introducing deep studying: why you need to study itFundamental ideas: how do machines study?Introduction to neural prediction: ahead propagationIntroduction to neural studying: gradient descentLearning a number of weights at a time: generalizing gradient descentBuilding your first deep neural community: introduction to backpropagationHow to image neural networks: in your head and on paperLearning sign and ignoring noise:introduction to regularization and batchingModeling chances and nonlinearities: activation functionsNeural studying about edges and corners: intro to convolutional neural networksNeural networks that perceive language: king – man + girl == ?Neural networks that write like Shakespeare: recurrent layers for variable-length dataIntroducing computerized optimization: let’s construct a deep studying frameworkLearning to jot down like Shakespeare: lengthy short-term memoryDeep studying on unseen knowledge: introducing federated learningWhere to go from right here: a short information
الناشر : Manning; First Version (25 يناير 2019)
اللغة : الإنجليزية
غلاف ورقي : 336 صفحات
الرقم الدولي المعياري للكتاب ISBN-10 : 1617293709
الرقم الدولي المعياري للكتاب ISBN-13 : 978-1617293702
الأبعاد : 18.75 x 1.78 x 23.5 cm
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