{"product_id":"the-principles-of-deep-learning-theory-an-effective-theory-approach-to-understanding-neural-networks-1316519333","title":"The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 1316519333\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Roberts, Daniel A.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eThis textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus. informal probability theory. it can easily fill a semester long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":52226668495136,"sku":"NEW1316519333","price":96.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/511X0SSqYBL.jpg?v=1787320059","url":"https:\/\/miakarts.com\/products\/the-principles-of-deep-learning-theory-an-effective-theory-approach-to-understanding-neural-networks-1316519333","provider":"Miakarts Books","version":"1.0","type":"link"}