This is a basic code repository for Assignment 3.

The repository contains a basic model and a basic training and testing procedure. It will work on the testing-platform. The goal of the project is to train a new model that is as robust as possible.

Basic usage

Install python dependencies with pip:

$ pip install -r requirements.txt

Test the basic model:

$ ./model.py
Testing with model from 'models/default_model.pth'. 
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./data/cifar-10-python.tar.gz
100.0%
Extracting ./data/cifar-10-python.tar.gz to ./data/
Model natural accuracy (test): 53.07

(Re)train the basic model:

$ ./model.py --force-train
Training model
models/default_model.pth
Files already downloaded and verified
Starting training
[1,   500] loss: 0.576
[1,  1000] loss: 0.575
...

Train/test the basic model and store the weights to a different file:

$ ./model.py --model-file models/mymodel.pth
...

Load the module project and test it as close as it will be tested on the testing plateform:

$ ./test_project.py

Even safer: do it from a different directory:

$ mkdir tmp
$ cd /tmp
$ ../test_project.py ../