Make sure your machine is set up with the assignment dependencies.
[Option 1] Use Google Colab (Recommended):
The preferred approach to do this assignment is to use Google Colab.
You need to use a GPU-based environment for the hw3_pytorch_cnn.ipynb notebook, see instructions in that notebook
to switch to a GPU runtime.
[Option 2] Use a local Conda environment: This approach is not recommended because the GPU of most PCs or laptops does not meet the requirements of training deep learning models.
Download data: Once you have the starter code, you will need to download the CIFAR-10 dataset.
cd deeplearning/datasets
./get_datasets.sh
cd ../..If you are on Mac, this script may not work if you do not have the wget command installed, but you can use curl instead with the alternative script.
cd deeplearning/datasets
./get_datasets_curl.sh
cd ../..Start Jupyter: After you have the CIFAR-10 data, you should start the IPython notebook server from this directory.
jupyter notebook