03738nam 22006135 450 991030075700332120200703082821.01-4842-3721-810.1007/978-1-4842-3721-2(CKB)3850000000033398(MiAaPQ)EBC5448082(DE-He213)978-1-4842-3721-2(CaSebORM)9781484237212(PPN)22950616X(OCoLC)1048260531(OCoLC)on1048260531(EXLCZ)99385000000003339820180704d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDeep Belief Nets in C++ and CUDA C: Volume 3 Convolutional Nets /by Timothy Masters1st ed. 2018.Berkeley, CA :Apress :Imprint: Apress,2018.1 online resource (184 pages)1-4842-3720-X 1. Feedforward Networks -- 2. Programming Algorithms -- 3. CUDA Code -- 4. CONVNET Manual.Discover 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. At each step Deep Belief Nets in C++ and CUDA C: Volume 3 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. You will: Discover convolutional nets and how to use them Build deep feedforward nets using locally connected layers, pooling layers, and softmax outputs Master the various programming algorithms required Carry out multi-threaded gradient computations and memory allocations for this threading Work with CUDA code implementations of all core computations, including layer activations and gradient calculations Make use of the CONVNET program and manual to explore convolutional nets and case studies.Convolutional netsDeep belief nets in C plus plus and CUDA CArtificial intelligenceProgramming languages (Electronic computers)Big dataArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Big Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Artificial intelligence.Programming languages (Electronic computers).Big data.Artificial Intelligence.Programming Languages, Compilers, Interpreters.Big Data.Big Data/Analytics.006.32Masters Timothyauthttp://id.loc.gov/vocabulary/relators/aut105163UMIUMIBOOK9910300757003321Deep Belief Nets in C++ and CUDA C: Volume 32514104UNINA