What is a feedforward neural network?

Can you explain what a feedforward neural network is?

A feedforward neural network is a type of artificial neural network where connections between the nodes do not form cycles. It processes inputs in one direction, from input nodes through hidden nodes to output nodes.

How does it differ from other types of neural networks?

Unlike recurrent neural networks, which have cycles and can process sequences of data, feedforward networks only move data in one direction, making them simpler and often faster for certain tasks.

What are some common applications of feedforward neural networks?

They are commonly used in image recognition, speech recognition, and various classification tasks due to their ability to learn complex patterns.

Can you give me an example of how it works?

Sure! In a simple feedforward network, an input image is processed through layers of neurons, each applying weights and activation functions, to produce an output that classifies the image.