Demonstration of how to download KMNIST using torchvision | Create dummy dataset with the same shape as KMNIST | Create the layers that define the architecture of our convolutional network | Define the model object | Train and validate the model

Prepare data | Define model | Train and validate

Introduction | Prepare dataloaders | Define the model | Train the model | Validate | Global explanation | Local explanation

Generate data | Define hyperparameters and the model object | Train and validate the model | Inspect the results using coef | Global structure

Generate data | Define hyperparameters and the model object | Train and validate the model | Check the global explanations