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https://github.com/wangwilly/osu-cse-5526

Some implementation of neural networks
https://github.com/wangwilly/osu-cse-5526

bash linear-programming linear-regression neural-networks non-linear-optimization numpy poetry-python python rbf rbf-network svm

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Some implementation of neural networks

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# OSU - CSE5526

## Lab 1

- [instructions](lab1/Lab-1.pdf)
- [report](lab1/report.md)
- [result](lab1/result.md)
- [result2](lab1/result2.md)

### TODO
- [ ] Use GPU to accelerate the computation of the matrix multiplication.
- [x] Make cost function and gradient function as classes.

## Lab 2

- [instructions](lab2/Lab-2.pdf)
- [report](lab2/report.md)
- [history log](lab2/hist_logs.md)
- [reference](docs/lab2.md)

## Lab 3

- [instructions](lab3/Lab-3.pdf)
- [report](lab3/report.md)
- [history log](lab3/hist_logs.md)

### Install LibSVM

```bash
# on Mac
brew install libsvm
```

### Run

```bash
./scripts/lab3-1-choose-c.sh
./scripts/lab3-2-half-sampling.sh
```

all the results are in `lab3/dist` folder.