Neural Networks replicate the way humans learn, inspired by how the neurons in our brains fire, only much simpler.
Neural Network
The most common Neural Networks consist of three network layers:
An input layer
A hidden layer (this is the most important layer where feature extraction takes place, and adjustments are made to train faster and function better)
An output layer
Each sheet contains neurons called “nodes,” performing various operations. Neural Networks are used in deep learning algorithms like CNN, RNN, GAN, etc.
