{"product_id":"grokking-deep-learning-9781617293702","title":"Grokking Deep Learning","description":"\u003cp\u003eSummary  Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style  seasoned deep learning expert Andrew Trask shows you the science under the hood  so you grok for yourself every detail of training neural networks.  Purchase of the print book includes a free eBook in PDF  Kindle  and ePub formats from Manning Publications.  About the Technology  Deep learning  a branch of artificial intelligence  teaches computers to learn by using neural networks  technology inspired by the human brain. Online text translation  self-driving cars  personalized product recommendations  and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning.  About the Book  Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style  seasoned deep learning expert Andrew Trask shows you the science under the hood  so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library  NumPy  youll train your own neural networks to see and understand images  translate text into different languages  and even write like Shakespeare! When youre done  youll be fully prepared to move on to mastering deep learning frameworks.  Whats inside  The science behind deep learning Building and training your own neural networks Privacy concepts  including federated learning Tips for continuing your pursuit of deep learning About the Reader  For readers with high school-level math and intermediate programming skills.  About the Author  Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously  Andrew was a researcher and analytics product manager at Digital Reasoning  where he trained the worlds largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform.  Table of Contents  Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man  woman  ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: lets build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":45651568721973,"sku":"ByrdShop_1617293709","price":37.84,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9781617293702.jpg?v=1781835805","url":"https:\/\/atxbooks.com\/products\/grokking-deep-learning-9781617293702","provider":"ATX Books","version":"1.0","type":"link"}