Digit Recognition using MNIST dataset
.
├── dat
│ └── mnist.t7 ```dataset```
├── ds-ga-1008-a1-master ```tutorial starter code```
└── src ```source code location```
├── results_weightDecay=0 ```subdirectories for results```
├── results_weightDecay=0.1
└── results_weightDecay=1
python src/train.py --param1 val1 val2 val3 --param2 val1 val2 val3 val4 --param3 ....
, train models for different cmd argspython src/predict.py
, generate predictions using model.net files in each result subdirectory
- Please add dat to .gitignore and store large data files in dat directory