This repository contains code that can be used to visualize Deep Learning methods.
- Works for 2D input with binary labels, i.e., 0 and 1.
- Contans a single perceptron.
Add training data into training_data.csv
in the following form:
in1 | in2 | label | |
---|---|---|---|
0 | |||
1 | |||
2 |
Modify parameters in params.py
.
Run run.py
to obtain a plot of decision boundary ๐