Introduction to Neural Network

Neural networks are a set of algorithms, modelled loosely after the human brain, that is designed to recognize patterns. They interpret sensory data through a kind of machine perception, labelling or clustering raw input.

After get understand the definition of Neural Networks, so we know that Neural Networks is related and referring to how our brain works.

Brain and Machine

Brain vs Machine

The Structure of Neurons

A neuron has:

• a cell body,
• a branching input structure (the dendrIte) and
• a branching output structure (the axOn)

The structure of Neurons

• Axons connect to dendrites via synapses.
• Electro-chemical signals are propagated from the dendritic input, through the cell body, and down the axon to other neurons
• A neuron only fires if its input signal exceeds a certain amount
  (the threshold) in a short time period.
• Synapses vary in strength: Good connections allowing a large signal and Slight connections allow only a weak signal.

Human Brain vs Artificial Neural Network

https://medium.com/hengky-sanjaya-blog/introduction-to-deep-learning-4d6ae5b10ab6