## A Simple Artificial Neuron

In this video we start with a very basic example of ML and we finish with an Artificial Neuron that models an OR, AND and NAND logic gate.

Chapters:

00:00 - Motivation

02:18 - Imperative programming vs ML

05:15 - Initial environment configuration

10:13 - Defining the first example

12:39 - The model

17:40 - Initial evaluation

22:59 - Cost function

30:02 - epsilon

32:17 - Derivative / Finite differences

38:13 - learning rate

40:06 - Training / Learning

45:47 - Artificial Neuron

49:40 - bias

57:19 - Second example, logic gates

01:05:55 - Activation function

01:10:53 - That’s why the “bias”

01:14:51 - Other gates

01:19:30 - XOR gate?

01:23:28 - OR, NAND, AND == XOR

01:27:04 - Coming next…

Full series: From C-ro to ML