搜索资源列表
CUDA_BP_neuralnetwork
- 基于nvidia CUDA架构的BP神经网络程序，在G80,G92 GPU上可以完成BP神经网络训练。速度较双核CPU提高十倍
CUDA.rar
- 文章介绍如何使用CUDA实现神经网络，并把他应用在GPU图像处理单元上,The article describes how to use CUDA to achieve neural networks, and he applied to image processing unit on the GPU
VisionWorkbench_1.1.0.5_x86
- 在计算机图像硬件上实现计算机视觉的相关算法，并使用了OpenGL及其Cg语言和CUDA，程序不错。-The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, in OpenGL and Cg and CUDA. The project provides useful example programs which run computer vision algorithms
cuSVMVCcode
- 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
cuda-GPU
- 本文详细分析了Tesla GPU图形与计算架构和CUDA统一计算设备架构，详细描述了如何对计算任务进行并行分解，并通过CUDA的双层并行编程模型映射到Tesla GPU上。 在本文的实现部分，以软件开发流程为主线，描述了如何利用CUDA实现模式识别中的三种常用算法-The paper analyzed the Tesla GPU computing architecture and CUDA graphics and computing devices unified architecture,
lizilingjusousuo
- 基于GPU的快速粒子邻居搜索方法的说明文档以其源代码-Fast GPU-based particle neighbor search method for its source code documentation
yiqunsuanfa
- 蚁群算法，包括CPU串行和GPU并行代码，以及说明文档-Ant colony algorithms, including CPU and GPU parallel serial code, and documentation
Autoencoder_Code
- 用于利用GPU训练DBN网络，包括pretraing和finetune,其中包含的rbm代码非常有用-for using GPU to train DBN network，including pretraing and finetune,rbm code is useful
GPUNN_GUI
- 改代码是基于CUDA GPU的神经网络的实施。-This article describes the implementation of a neural network with CUDA..
GPU-AI
- MultiAgentGPU-RA09.pdf,nvidia gpu ai paper,very useful.
gpupgasav2
- 基于GPU并行的模拟退火算法，使用CUDA,结合遗传算法，自适应邻域的并行模拟题退火算法-Simulated annealing algorithm based on GPU parallel With CUDA, combined with genetic algorithm, the adaptive neighborhood annealing algorithm for parallel simulation questions
Convolution_GPU
- This project implement the convolution neural network on GPU. This reduce much time for training process. This project was written in C# and cuda
caffe
- 一种设计的卷积神经网络用于图像特征的快速提取，并可以根据环境自行选择是否使用GPU-Design of a convolution neural networks for image feature extraction fast, and you can choose whether to use the GPU itself according to the environment
cuda-convnet
- 卷积神经网的GPU高效并行实现，用于大规模图像识别-A efficient GPU implementation of CNN with application to large-scale image recognition
DeepLearningTutorials-master
- 深入学习是机器学习研究的一个新领域,已介绍了移动机器学习的目标更接近原来的目标之一:人工智能。深度学习学习多个水平的代表性和抽象,帮助理解数据(如图像、声音和文字。本文提供的教程将向您介绍一些最重要的深度学习算法,还将向您展示如何使用Theano运行它们。Theano是一个python库,使写作深度学习模型简单,并提供培训在GPU的选项。-run them using Theano. Theano is a python library that makes writing deep learn
deepnet-master
- Nitish Srivastava University of Toronto.利用GPU训练深度学习算法-Implementation of some deep learning algorithms. Nitish Srivastava University of Toronto. GPU-based python implementation of 1. Feed-forward Neural Nets 2. Restricted Boltzmann Machines
cuda_monte_carlo
- 这是论文 On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods 的配套代码,对于了解GPU cuda并行编程有用.-This is the thesis " On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Mo
BP_GPU
- 神经网络BP算法GPU实现，深度学习、模式识别与机器学习领域-BP neural network algorithm GPU implementation, the depth of learning, pattern recognition and machine learning.
ELM-MATLAB-GPU
- 极限学习机代码（GPU版本），使用MATLAB自带的GPU工具箱-Extreme Learning Machine code (GPU version), the use of MATLAB s own GPU toolbox
win10配置tensorflow gpu版不用装CUDA
- 这是本人写的一篇安装tensorflow的方法，用于win10系统，gpu版(This is an article written by myself for installing tensorflow gpu version.)