Resources
Class Schedule
1st week
02/23 Overview and introduction
2nd week
03/02 Convolutional Neural Networks
3rd week
03/09 AlexNet: Image Classification with Deep Convolutional Neural Networks
4th week
03/16 ResNet: Deep Residual Learning for Image Recognition
5th week
03/23 Transfer Learning
6th week
03/30 Foundations of Object Detection
7th week
04/06 Spring break
8th week
04/13 1st Midterm Project Demonstration & Presentation
9th week
04/20 YOLO: Unified, Real-time Object Detection
10th week
04/27 YOLOv4: Optimal Speed and Accuracy of Object Detection
11th week
05/04 U-Net: Convolutional Networks for Biomedical Image Segmentation
12th week
05/14 校外專家演講：國立勤益科技大學 林國祥 教授
13th week
05/18 2nd Midterm Project Demonstration & Presentation
14th week
05/25 Generative Adversarial Network (GAN)
15th week
06/01 Generative Adversarial Network (GAN)
16th week
06/08 Recurrent Neural Networks (RNN)
17th week
06/15 Final Project Demonstration & Presentation