Computer Vision and Deep Learning

Computer Vision and Deep Learning (Graduate Course) Lu Peng, Beijing University of Posts and Telecommunications

• Chapter 1：Preface (1 hours and 30 minutes and 41 seconds)

• Chapter 2：Introduction to image classification tasks & linear classifier (Part 1) (1 hours and 36 minutes and 52 seconds)

• Chapter 3：Linear Classifier (Part 2) (1 hours and 35 minutes and 36 seconds)

• Chapter 4：Fully connected neural network (Part 1) (1 hours and 21 minutes and 44 seconds)

• Chapter 5：Fully connected neural network (medium) (1 hours and 36 minutes and 29 seconds)

• Chapter 6：Fully connected neural network (Part 2) (1 hours and 26 minutes and 42 seconds)

• Chapter 7：Convolution & Image Denoising & Edge Extraction (1 hours and 36 minutes and 7 seconds)

• Chapter 8：Texture Representation & Convolutional Neural Network (1 hours and 36 minutes and 59 seconds)

• Chapter 9：Classic network analysis (Part 1). (1 hours and 36 minutes and 43 seconds)

• Chapter 10：Classic network analysis (Part 2) & image segmentation (1 hours and 32 minutes and 11 seconds)

• Chapter 11：Image Segmentation (Part 2) & Target Detection (1 hours and 10 minutes and 44 seconds)

• Chapter 12：Visualization (Part 1) (18 minutes and 6 seconds)

• Chapter 13：Visualization (Part 2) (1 hours and 35 minutes and 19 seconds)

• Chapter 14：Generate model VAE (1 hours and 28 minutes and 15 seconds)

• Chapter 15：Generate modelGAN (1 hours and 36 minutes and 47 seconds)

• Chapter 16：Analysis of GAN classic papers (1 hours and 45 minutes and 33 seconds)