Files for "Deep Learning for Computer Vision with MATLAB"

版本 1.2 (11.6 KB) 作者: Lucas García
Example files for "Deep Learning for Computer Vision with MATLAB" Webinar - July 5, 2016 (Spanish)
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更新时间 2021/3/27
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These are the example files used in the webinar "Aprendizaje Profundo para Visión Artificial con MATLAB" - Spanish ("Deep Learning for Computer Vision with MATLAB").
Deep Learning is an area of Machine Learning that uses multiple nonlinear processing layers to learn useful representations of features directly from data. This webinar shows the fundamentals of Deep Learning for Computer Vision and how to use Convolutional Neural Networks (popularly known as CNNs or ConvNets) to solve object classification/recognition problems.
The source code consists of 3 different examples:
1) Running a trained CNN (/WebcamClassification)
2) Training a CNN from scratch (/CIFARTraining)
3) Fine-tuning a pre-trained CNN. Transfer learning (/TransferLearning)
Examples 1) and 3) make use AlexNet [1]. In order to download the trained CNN [2], run the file downloadAndPrepareCNN.m (if using R2016a) or download AlexNet Network support package (if using R2016b or later).
References:
[1] Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (pp. 1097-1105).
[2] Vedaldi, A., & Lenc, K. (2015, October). MatConvNet: Convolutional Neural Networks for MATLAB. Proceedings of the 23rd ACM International Conference on Multimedia (pp. 689-692). ACM.

引用格式

Lucas García (2024). Files for "Deep Learning for Computer Vision with MATLAB" (https://github.com/mathinking/DeepLearning-for-ComputerVision-with-MATLAB/releases/tag/v1.2), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2016a
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平台兼容性
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CIFARTraining

TransferLearning

WebcamClassification

版本 已发布 发行说明
1.2

See release notes for this release on GitHub: https://github.com/mathinking/DeepLearning-for-ComputerVision-with-MATLAB/releases/tag/v1.2
1.1.0.0

Updated to work on R2016b and later using AlexNet Network support package
1.0.0.1

Updated license
1.0.0.0

Adding link to the recorded webinar.
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。
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。