Cuda

CUDA by Example: An Introduction to General-Purpose GPU Programming (Repost)  eBooks & eLearning

Posted by roxul at Jan. 7, 2018
CUDA by Example: An Introduction to General-Purpose GPU Programming (Repost)

Jason Sanders, "CUDA by Example: An Introduction to General-Purpose GPU Programming"
English | 2010 | 312 Pages | ISBN: 0131387685 | PDF | 2 MB

Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets  eBooks & eLearning

Posted by AvaxGenius at July 4, 2018
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets

Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets by Timothy Masters
English | PDF,EPUB | 2018 | 184 Pages | ISBN : 148423720X | 2.76 MB

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.

Introduction to Parallel Programming using GPGPU and CUDA  eBooks & eLearning

Posted by naag at March 16, 2018
Introduction to Parallel Programming using GPGPU and CUDA

Introduction to Parallel Programming using GPGPU and CUDA
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | Lec: 22 | 213 MB
Genre: eLearning | Language: English

Learn the fundamentals of GPU & CUDA programming, use your knowledge in Machine Learning, Data Mining and Deep Learning

Learning CUDA 10 Programming  eBooks & eLearning

Posted by IrGens at Oct. 12, 2019
Learning CUDA 10 Programming

Learning CUDA 10 Programming
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 2h 27m | 484 MB
Instructor: Nathan Weston
Learn CUDA Programming:  A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++ (repost)

Learn CUDA Programming:
A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++
by Jaegeun Han

English | 2019 | ISBN: 1788996240 | 502 Pages | PDF EPUB True | 60 MB
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real..

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs by Bhaumik Vaidya
English | October 9th, 2018 | ISBN: 1789348293 | 380 Pages | EPUB | 15.59 MB

Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU
Hands-On GPU Programming with Python and CUDA : Explore High-performance Parallel Computing with CUDA

Hands-On GPU Programming with Python and CUDA :
Explore High-performance Parallel Computing with CUDA

by Dr. Brian Tuomanen
English | 2018 | ISBN: 1788993918 | 310 Pages | ePUB | 10 MB

The CUDA Handbook: A Comprehensive Guide to GPU Programming  eBooks & eLearning

Posted by DZ123 at Nov. 10, 2019
The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt Wilt, "The CUDA Handbook: A Comprehensive Guide to GPU Programming"
English | 2013 | ISBN: 0321809467 | EPUB | pages: 520 | 31.1 mb

Learn CUDA Programming [Repost]  eBooks & eLearning

Posted by IrGens at March 8, 2020
Learn CUDA Programming [Repost]

Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++ by Jaegeun Han, Bharatkumar Sharma
English | September 27, 2019 | ISBN: 1788996240 | True EPUB | 508 pages | 32.9 MB
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks

Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks By Timothy Masters
English | PDF,EPUB | 2018 | 225 Pages | ISBN : 1484235908 | 5.63 MB

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides 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.