assignment_1.md

Assignment 1

In assigment we want to have a simple classification task which can be solved only using fully connected layers.

Dataset

Potentially some balanced fraud detection dataset.

Flow

We want to have the notebook which we do in class (2-2) to be very similar to this flow.

1. Read data and split
2. Maybe plot
3. Scale, either min/max scale or gaussian scaling. Preferably the min/max scale.
4. Create an initial network
5. Tell them which loss to use and metric.
6. They should reiterate on the network/hyperparameters until the loss/metric is below some certain number.
7. Then they should further refine the hyperparameters using the validation dataset. The losses/metrics should not be too different between the two datasets.
8. They should then end by running the model against the test dataset and report on the metric.