Introduction to deep learning

This document is a PowerPoint presentation on deep learning that was created by Saebyeol Yu. The presentation contains three parts: an introduction to deep learning, convolutional neural networks (CNNs), and generative adversarial networks (GANs). For CNNs, it explains concepts like convolutional layers, kernels, strides, padding, and pooling. It also discusses popular CNN models like VGG, ResNet and DenseNet. For GANs, it provides examples of GAN applications and describes the adversarial training process between the generator and discriminator networks. In summary, the presentation provides an overview of key deep learning concepts for CNNs and GANs through explanatory text and diagrams.