My Study Notes on Convolutional Neural Networks (CNN)

Introduction I studied CNN (Convolutional Neural Network) in deep learning, and I'm writing down what I understood as a beginner. References These resources were very helpful, especially the animated diagrams: How Do Convolutional Neural Networks Work? Machine Learning for High Schoolers (7): CNN Part 1 Understanding Convolutional Neural Networks from Scratch Stanford wiki / Convolution schematic.gif Deep Learning Chapter 6: Convolutional Neural Networks The Goal: Recognizing Objects in Images There has long been a need to identify and recognize objects in pixel images, for example: Recognizing text in a scanned photo of a paper document Recognizing musical notes in a photo of sheet music Detecting obstacles in dashcam footage CNNs are designed to meet these needs. How Does Object Recognition Work? CNNs use the following processing steps to emphasize features : Convolution : Apply a filter to highlight features Pooling : Resize to reduce noise By amplifying distinguishing features, the