- Machine Learning and Deep Learning Explained (
urlWidget Connector https://docs.google.com/document/d/1VxB0Rc1wg_3pzG31eFACum5bQJwZzwXC0C8HEVw9AHQ/edit?usp=sharing )Neural Networks and Natural Language Processing- AI Algorithms: From Basics to Advanced
...
Below, an image that depicts the human neuron:
And
The McCulloch-Pitts neuron works like a logic gate, where:
- The dendrites are the inputs
- The axon is the output that can be linked to other neurons
- The nucleus of the cell receives all the inputs
Furthermore, if the accumulated signal, in the nucleus, exceeds a threshold an output signal is generated and that will be passed on by the axon.
A logic schema below:
Where:
- x1, x2 … xn are the input values
- w1, w2 … wn are the weights on each inputs
- sum = x1 * w1 + x2 * w2 + … + xn * wn
- if sum > threshold output is 1 (or true) else it is 0 or (false)