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, machine learning models mimicking the human brain's architecture, are composed of interconnected layers of nodes (neurons) for information processing. These networks typically comprise three primary layer types:
1. Input Layer: This initial layer accepts the incoming data.
2. Hidden Layers: These intermediate layers perform the core computations, employing neurons that apply activation functions to the data.
3. Output Layer: The concluding layer responsible for generating the model's predictions.