{"product_id":"b096jxmqlm","title":"Math for Deep Learning: What You Need to Know to Understand Neural Networks","description":"\u003cp\u003eMath for Deep Learning  provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.\u003c\/p\u003e\n\n\u003cp\u003eWith  Math for Deep Learning , you'll learn the essential mathematics used by and as a background for deep learning.\u003c\/p\u003e\n\n\u003cp\u003eYou’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.\u003c\/p\u003e\n\n\u003cp\u003eIn addition you’ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad\/Adadelta.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":67936985710628,"sku":"YSL38572","price":17.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0805\/2614\/7620\/files\/81Ger13apwL._SY1500.jpg?v=1793264283","url":"https:\/\/booktavero.com\/products\/b096jxmqlm","provider":"BookTavero","version":"1.0","type":"link"}