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