{"product_id":"deep-belief-nets-in-c-and-cuda-c-volume-3-convolutional-nets-9781484237205","title":"Deep Belief Nets in C++ and Cuda C: Volume 3: Convolutional Nets","description":"\u003cp\u003e • Author(s): Timothy Masters\u003cbr\u003e • Publisher: Apress\u003cbr\u003e • Publisher Imprint: Apress\u003cbr\u003e • BISAC: Data Science - Neural Networks\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\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\u003eAt each step \u003ci\u003eDeep Belief Nets in C++ and CUDA C: Volume 3\u003c\/i\u003e presents 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\u003c\/p\u003eYou will: \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","brand":"Apress","offers":[{"title":"Paperback","offer_id":45127481163927,"sku":"9781484237205","price":4407.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781484237205.webp?v=1767101227","url":"https:\/\/atlanticbooks.com\/products\/deep-belief-nets-in-c-and-cuda-c-volume-3-convolutional-nets-9781484237205","provider":"Atlantic Books","version":"1.0","type":"link"}