Dolphnet 🐬

Some ML models' implementation for learning purposes.

I plan to make each model output its state verbosely for observablility reasons. I wanted to understand how the weights and biases transforms in the training process.

If you want the verbose output, set the parameter verbose_output=True when calling the train method on any model.

Usage

• Perceptron

$ python3 -m examples.perceptron

Send it to a file or clipboard and paste to dillinger.io to see the rendered markdown.

$ python3 -m examples.perceptron > output.md
OR
$ python3 -m examples.perceptron > xclip -selection c

Example Rendered Outputs

1. OR operator - Binary Input, Bipolar Target
2. AND operator - Binary Input, Bipolar Target