Question

What are Neural networks? Briefly explain all the layers of a neural network.

Hint:

Neural networks are composed of input, hidden, and output layers, with each layer transforming data at different stages.

Answer 1

Neural Networks are a class of machine learning models inspired by the human brain’s structure. They consist of layers of interconnected nodes (neurons) that process information. The main layers of a neural network are:
1. Input Layer: The first layer that receives the input data.
2. Hidden Layers: Layers where the actual processing takes place, consisting of neurons that apply activation functions to the data.
3. Output Layer: The final layer that provides the predicted output.