Deep learning imitates the way our brain works i.e. it learns from experiences. It uses the concepts of neural networks to solve complex problems.
Input Layer: This layer receives all the inputs and forwards them to the hidden layer for analysis
Hidden Layer: In this layer, various computations are carried out and the result is transferred to the output layer. There can be n number of hidden layers, depending on the problem you’re trying to solve.
Output Layer: This layer is responsible for transferring information from the neural network to the outside world.
