Can you explain how convolutional layers work in Keras?
Convolutional layers are a type of layer commonly used in convolutional neural networks. A convolutional layer applies a convolution operation to the input, passing a filter over the input and producing an output. The convolution operation is a mathematical operation that takes two inputs (a matrix and a kernel) and produces an output (a matrix). The convolution operation is used in many fields, including image processing and signal processing.
