Artificial neural network is the branch of artificial intelligence. Definition word by word with examples, short history of neural network, what is neuron, why neural network needed, human brain neural network, BRAIN vs ANN,
5. Neural Networks
A computer system modelled on the human brain and
nervous system
HOW?
First we should know about Brain system of Human.
PART OF MIND Hippocampus > Neurons
(Connected)
(Learn , Memorize, Processing)
1943 Foundations for neural networks laid.
6. Neuron
The fundamental computational units .
100 billion or 86 billion (Almost) neurons in the
brain, with 100 trillion connections (Synapses)
A neuron can send the message to other
neuron to handle the issue or does not send
it forward.
7. Neural Networks
The inventor of the first neurocomputer, Dr. Robert Hecht-
Nielsen, defines a neural network as-
A computing system made up of a number of simple, highly
interconnected processing elements, which process information
by their dynamic state response to external inputs.
8. Why Neural network needed
AI like to Work Like human
World want to make artificial robots just like humans
For this purpose there was a need to make brain of
robots mind just like human mind
There was a need to understand human mind
working.
12. Brain VS AI
Human brain the neurons signals processing is very fast and
it can process lot of signals at same time.
But in computer..
(Like electricity )
So in AI we are trying to develop a process still. In Human
mind it can process lot of signals at same time to get the
output as like human brain.
13. Applications of Neural Networks
Electronics --Code sequence prediction, IC chip layout,
chip failure analysis, machine vision, voice synthesis.
Medical -- Cancer cell analysis, prosthetic design,
transplant time optimizer.
Military − Weapon orientation and steering, target
tracking, object discrimination, facial recognition.
Control − ANNs are often used to make steering decisions
of physical vehicles.
SO NO