vlfeat/matconvnet

버전 1.1.0.0 (2.07 MB) 작성자: Andrea Vedaldi
MatConvNet: CNNs for MATLAB
다운로드 수: 9.2K
업데이트 날짜: 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.

인용 양식

Andrea Vedaldi (2024). vlfeat/matconvnet (https://github.com/vlfeat/matconvnet), GitHub. 검색됨 .

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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

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버전 게시됨 릴리스 정보
1.1.0.0

Updates the description.

1.0.0.0

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