67. Explain the Backpropagation Algorithm and its layers.

Backpropagation refers to a Neural Network algorithm used for processing noisy data and identifying unrecognized patterns for better clarification. This is a complete state algorithm with an iterative nature. There are three layers:

• Input layer
• Hidden layer
• Output layer. 

1. Firstly, the input layers collect the input values and constraints from the user or the outside environment. 
2. After that, the data moves to the Hidden layer where the processing is performed. 
3. Lastly, after processing the data, it gets transformed into some values or patterns that can be shared using the output layer.