vlfeat/matconvnet

版本 1.1.0.0 (2.1 MB) 作者: Andrea Vedaldi
MatConvNet: CNNs for MATLAB
9.2K 次下载
更新时间 2021/12/21

Please refer to the homepage (http://www.vlfeat.org/matconvnet) for releases, data, and documentation.
MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient (integrating MATLAB GPU support), and can run and learn state-of-the-art CNNs, similar to the ones achieving top scores in the ImageNet challenge. Several example CNNs are included to classify and encode images.
An important feature of MatConvNet is making available the CNN building blocks as easy-to-use MATLAB commands. This allows prototyping new CNN architectures and learning algorithms as well as recycling fast convolution code for sliding window object detection and other applications.

MatConvNet is developed by a team of computer vision scientists in Oxford and other research institutions.

引用格式

Andrea Vedaldi (2024). vlfeat/matconvnet (https://github.com/vlfeat/matconvnet), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2014a
兼容任何版本
平台兼容性
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致谢

启发作品: electroCUDA

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examples

examples/+solver

examples/cifar

examples/custom_imdb

examples/fast_rcnn

examples/fast_rcnn/+dagnn

examples/fast_rcnn/bbox_functions

examples/fast_rcnn/datasets

examples/imagenet

examples/mnist

examples/spatial_transformer

examples/vggfaces

matlab

matlab/+dagnn

matlab/+dagnn/@DagNN

matlab/compatibility/parallel

matlab/simplenn

matlab/xtest

matlab/xtest/suite

utils

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
1.1.0.0

Updates the description.

1.0.0.0

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要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库