搜索资源列表
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
pso
- cuda加速粒子群算法的代码，非常不错哦-particle swarm algorithm to accelerate the cuda code
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
dct8x8
- 基于cuda的dct图像压缩编码。要求：n卡，g80以上配置，支持cuda-Cuda-based image compression coding of dct. Requirements: n cards, g80 and above configurations, supporting cuda
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
CUDA-convnet
- HINTON的学生alex写的有关深度学习的图像分类上在cuda上的实现-Image classification HINTON alex students wrote about the depth of learning implemented on cuda' s
cnn_cuda5.5
- 利用cuda加速卷积神经网络，用于人工智能图像分类- Cuda accelerated use convolution neural networks, artificial intelligence for image classification
CorrectionImage
- 这是在Matlab软件平台下的 GPU程序，进行图像放大的并行运算，使用CUDA来编写程序。(This is in the Matlab software platform under the GPU program, image amplification parallel operation, using CUDA to write programs.)
GPUBarCode
- 这是在Matlab软件平台下的 GPU程序，用最近邻域双线性插值算法填补图像中缺失区域，是并行运算处理，使用CUDA来编写程序。(This is the GPU program under the Matlab software platform, and the nearest neighborhood bilinear interpolation algorithm to fill the missing areas in the image is parallel processing,
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ