{"product_id":"127654651_product","title":"Yoshua Bengio - Deep Learning - Hardback","description":"New Store Stock\u003cbr\u003e\u003cstrong\u003eAbout this Item\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe item is a book Hardback\u003cbr\u003eThe Author Name is Yoshua Bengio\u003cbr\u003eThe Title is Deep Learning\u003cbr\u003e\u003cbr\u003eCondition New\u003cbr\u003e\u003cbr\u003eOther Comments\u003cbr\u003eNew Store Stock\u003cbr\u003eCategory - Computers\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eProduct Description -\u003cbr\u003eAn introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.   \"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.\"-Elon Musk, cochair of OpenAI  cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs.\r\n\r\n The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones  a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning.\r\n\r\n It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology  and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.\r\n\r\n A website offers supplementary material for both readers and instructors.\u003cbr\u003e\u003cp\u003eWhen possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong.\u003c\/p\u003e\n\n\u003cp\u003eBooks are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGift Ideas\u003c\/strong\u003e\u003cbr\u003e\nThis is a great gift idea.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eHours of Service\u003c\/strong\u003e\u003cbr\u003e\nWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday.\u003c\/p\u003e\n\u003cbr\u003eLocation ID 245z\u003cbr\u003e\u003cbr\u003eiHaveit SKU ID 174018861\u003cbr\u003e\u003cbr\u003e","brand":"Adaptive Computation and Machine Learning series","offers":[{"title":"Default Title \/ Grey \/ unisex","offer_id":43880266531060,"sku":"174018861","price":77.31,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/ihaveitmarketplace.com\/products\/127654651_product","provider":"iHaveit","version":"1.0","type":"link"}