What does "Feed-forward Layer" mean?

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A Feed-forward Layer is a basic building block used in neural networks to process information. It takes input data, transforms it, and passes it to the next layer.

In simple terms, think of a Feed-forward Layer as a stage in a production line. When items (data) arrive, this stage does its job by making changes to them, like sorting or modifying, before sending them along to the next stage.

The goal of this layer is to make the information easier to handle and understand. By doing so, it helps the overall system work better and more efficiently.

In certain applications, such as low-light image improvement, these layers are important because they help pull out details from images and make them clearer without using too much computer power.