Contents
Introduction
Perceptron
Neural Network
BackpropagationAlgorithm
Introduction
❖What are artificial neural networks?
A neuron receives a signal, processes it, and
propagates the signal (or not)
The brain is comprised of around 100 billion
neurons, each connected to ~10k other neurons:
1015 synaptic connections
ANNs are a simplistic imitation of a brain
comprised of dense net of simple structures
Origins: Algorithms that try to mimic the brain
Very widely used in 80s and early 90s; popularity
diminished in late 90s.
Recent resurgence: State-of-the-art technique for
many applica1ons
Comparison of computing power
Neural networks are designed to be massively parallel
The brain is effectively a billion times faster
Applications of neural networks
