{"product_id":"deep-belief-nets-in-c-and-cuda-c-1","title":"Deep Belief Nets In C++ And Cuda C: Volume 3: Convolutional Nets","description":"\u003cp\u003eDiscover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a 'thought process' that is capable of learning abstract concepts built from simpler primitives. These models are especially useful for image processing applications. \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAt each step\u003ci\u003eDeep Belief Nets in C++ and CUDA C: Volume 3\u003c\/i\u003epresents intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards. Source code for all routines presented in the book, and the executable CONVNET program which implements these algorithms, are available for free download.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscover convolutional nets and how to use them\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBuild deep feedforward nets using locally connected layers, pooling layers, and softmax outputs\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMaster the various programming algorithms required\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCarry out multi-threaded gradient computations and memory allocations for this threading\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with CUDA code implementations of all core computations, including layer activations and gradient calculations\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMake use of the CONVNET program and manual to explore convolutional nets and case studies\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e \u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThose who have at least a basic knowledge of neural networks and some prior programming experience, although some C++ and CUDA C is recommended.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"None","offers":[{"title":"Couverture souple","offer_id":46249046048978,"sku":"9781484237205","price":94.95,"currency_code":"CAD","in_stock":true},{"title":"Livre numérique Kobo","offer_id":46249046081746,"sku":"63dcc114-ce9a-3ba2-a659-7a9de6482265","price":75.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_3fcc0d41-9561-4c08-b82c-90f649db4694.jpg?v=1764392289","url":"https:\/\/www.indigo.ca\/fr\/products\/deep-belief-nets-in-c-and-cuda-c-1","provider":"Indigo","version":"1.0","type":"link"}