Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Towards Data Science.
image. Can tolerate some distortion in the images. Capable of generalizing and learning features. Requires grid input. Convolutional layers are formed by filters, feature maps, and activation functions. These convolutional layers can be full, same or valid. We can determine the number of output