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https://github.com/charlesshang/matconvnet-dag
https://github.com/charlesshang/matconvnet-dag
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/charlesshang/matconvnet-dag
- Owner: CharlesShang
- License: bsd-2-clause
- Created: 2015-09-21T14:26:40.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2015-09-29T01:00:41.000Z (about 9 years ago)
- Last Synced: 2023-06-08T23:50:17.477Z (over 1 year ago)
- Language: Matlab
- Size: 11.4 MB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# a DAG CNN Implementation backed on MatConvNet
**MatConvNet** is a MATLAB toolbox implementing *Convolutional Neural
Networks* (CNNs) for computer vision applications. It is simple,
efficient, and can run and learn state-of-the-art CNNs. Several
example CNNs are included to classify and encode images. Please visit
the [homepage](http://www.vlfeat.org/matconvnet) to know more.
## What'sNew
+ **DAG** We reimplement the network architecture towards a fully DAG topology.
+ **MultiTask**
+ **concat** layer.
## A Fast Example
1. copy multitasknn/ to */path/to/Matconvnet/*, add this fold into you Matlab path
2. run multitask/exmaple/fast_test_mt_cnn.m