Organizing neurons in layers helps neural networks process information more effectively by building on inputs and transforming them. Each layer refines the data: the input layer takes in raw data, hidden layers transform it, and the output layer produces the final result. This layered structure allows the network to learn complex patterns and make accurate predictions. It also makes training easier by using backpropagation to adjust weights and minimize errors. In short, layers help neural netwo

Advantages and Disadvantages of Neural Networks | Analytics Steps

What is Neural Network: Overview, Applications, and Advantages