Fashion-MNIST Classification

This notebooks shows an example of using vflow on the Fashion-MNIST dataset using deep neural networks. It requires installing pytorch and torchvision (pip install torch torchvision).

build_vset(name, obj, param_dict, verbose=True) can be used to construct a Vset by currying obj with all possible combinations of parameters in param_dict. We can use it here to simplify hyperparameter tuning:

If using build_vset with verbose=True, we can visualize parameter combinations in our dataframe by passing param_key=vset_name to dict_to_df: