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https://github.com/kunalgupta777/neural-networks
This Repository contains scratch implementation of Soft Computing Lab practicals
https://github.com/kunalgupta777/neural-networks
adaline associative-memory backpropagation epoch jupyter-notebook matplotlib neuralnets softcomputing
Last synced: about 1 month ago
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This Repository contains scratch implementation of Soft Computing Lab practicals
- Host: GitHub
- URL: https://github.com/kunalgupta777/neural-networks
- Owner: kunalgupta777
- License: mit
- Created: 2018-11-13T15:31:28.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2018-11-13T19:40:44.000Z (about 6 years ago)
- Last Synced: 2024-01-17T09:14:21.079Z (12 months ago)
- Topics: adaline, associative-memory, backpropagation, epoch, jupyter-notebook, matplotlib, neuralnets, softcomputing
- Language: Jupyter Notebook
- Homepage:
- Size: 105 KB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Programs 1-11 of the Soft Computing/ Neural Networks Lab
Install *git* on your system if you don't have
```
sudo apt-get install git-core
```
Clone this repository by adding this command on your terminal
```
git clone https://github.com/kunalgupta777/Neural-Networks
```
Now switch to the folder
```
cd Neural-Networks
```
Run the scripts by typing
```
python .py
```
The Programs are numbered from 1-9
All scripts have information about the program and are commented accordingly
# Dependencies
- [x] Python 2.7.x
- [x] Numpy
- [x] Matplotlib
# To Do
- [ ] Add Manual Weights Addition in Backpropagation
- [ ] Add C/C++ support
Any suggestions and/or improvements are welcome.
Mail me at [email protected]