💣Notes to Self: Convolutional Neural Networks(CNNs or ConvNets)

First, the name convolutional comes from the mathematical operation convolution. Cross-correlation and convolution can be confused in machine learning but as known cross-correlation does not make flip the source image or kernel weights opposite of convolution. Convolutional neural networks are the most used type of neural network for computer vision applications. CNNs are a family of deep neural networks that uses mainly convolutions to achieve the task expected. One of the most famous article about CNNs(LeNet) by Yann LeCun is "Gradient-Based Learning Applied to Document Recognition."