Artificial Intelligence with Python

Types of layers in a CNN

Now that we know about the architecture of a CNN, let's see what type of layers are used to construct it. CNNs typically use the following types of layers:

• Input layer: This layer takes the raw image data as it is.
• Convolutional layer: This layer computes the convolutions between the neurons and the various patches in the input. If you need a quick refresher on image convolutions, you can check out this link: http://web.pdx.edu/~jduh/courses/Archive/geog481w07/Students/Ludwig_ImageConvolution.pdf . The convolutional layer basically computes the dot product between the weights and a small patch in the output of the previous layer.
• Rectified Linear Unit layer: This layer applies an activation function to the output of the previous ...