A very common task in machine learning is to perform image classification.
For a simple scenario it is only necessary to provide the following parameters:

• --dataset-folder specifies the location of the dataset on the machine

For example:

python RunMe.py --dataset-folder /path/to/dataset

It is very important that the dataset is in the right structure (see prepare your data).

Troubleshooting:

See Troubleshooting

Visualize Results

Among others (see full list of visualizations), the following visualizations are produced and can be seen on your Tensorboard.

Customization Options

There are a lot of elements that can be modified in an experiment. Many functionalities are already implemented and accessible through a command line parameters.

See customizing options for a brief overview of the most common ones.

For a comprehensive list of the possibilities offered by the framework see the latest version of the docs.