Consider a light bulb which lights up (activates) only when a threshold amount of current is produced. Call this lightbulb a neuron and the amount of electricity passing through it a weight.
Now provide input electricity(data) through an arrangement of layers of different coloured light bulbs which light up on different amounts of electricity (initialized at random). The amount of current passing through each layer of bulbs changes the hue and colour of the bulbs at the end. This collections of lightbulbs(neurons) is an example of Neural Network.
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
Consider a light bulb which lights up (activates) only when a threshold amount of current is produced. Call this lightbulb a neuron and the amount of electricity passing through it a weight.
Now provide input electricity(data) through an arrangement of layers of different coloured light bulbs which light up on different amounts of electricity (initialized at random). The amount of current passing through each layer of bulbs changes the hue and colour of the bulbs at the end. This collections of lightbulbs(neurons) is an example of Neural Network.