https://github.com/darshanime/neural-networks-matlab
Implementation of Artificial neural networks in MATLAB.
https://github.com/darshanime/neural-networks-matlab
artificial-neural-networks matlab
Last synced: 7 months ago
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Implementation of Artificial neural networks in MATLAB.
- Host: GitHub
- URL: https://github.com/darshanime/neural-networks-matlab
- Owner: darshanime
- Created: 2015-04-10T09:36:01.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2015-08-07T13:53:34.000Z (about 10 years ago)
- Last Synced: 2025-03-18T18:46:02.920Z (7 months ago)
- Topics: artificial-neural-networks, matlab
- Language: Matlab
- Size: 148 KB
- Stars: 22
- Watchers: 3
- Forks: 6
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# neural-networks-MATLAB
Implementation of Artificial neural networks in MATLAB.
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**Usage demonstration** :
Defination of the network :
` >>> [num_layers, psizes, y, biases, weights ] = init([7,5,1]) `
This will create a 3 layer network with 7 nodes in the input layer, 5 nodes in the hidden layer and 1 node in the output layer.
Also returned are the various variables related to the network created including random biases, weights etc.
Import your data using any of the many methods and store in the `training_data` and `test_data`.
Do something like `>>> [training_data, test_data] = xlsread(data.xls)`
Finally, for training use this :
`>>> SGD(training_data,test_data, epochs=100, eta_SGD=0.5)`
Don't forget to chage the parameters according to your needs, viz. epochs for which to train and the learning step size.