The purpose of this article is to give programmers without much exposure to machine learning an understanding of the key building block powering generative AI: the artificial neuron.
Toward that end, this article has three goals:
1. to implement a perceptron – the simplest artificial neuron;
2. to train perceptrons how to mimic AND, OR and NOT; and
3. to describe the leap to full-fledged neural networks.
The purpose of this article is to give programmers without much exposure to machine learning an understanding of the key building block powering generative AI: the artificial neuron.
Toward that end, this article has three goals:
1. to implement a perceptron – the simplest artificial neuron;
2. to train perceptrons how to mimic AND, OR and NOT; and
3. to describe the leap to full-fledged neural networks.
(edit: formatting)