Weeping and Gnashing of Teeth: Teaching Deep Learning in Image and Video Processing Classes

Abstract

In this rather informal paper and talk I will discuss my own experiences, feelings, and evolution as an Image Processing and Digital Video educator trying to navigate the Deep Learning revolution. I will discuss my own ups and downs of trying to deal with extremely rapid technological changes, and how I have reacted to, and dealt with consequent dramatic changes in the relevance of the topics I've taught for three decades. I have arranged the discussion in terms of the stages, over time, of my progression dealing with these sea changes.

arXiv comment5 pages

References in corpus (5)

• Very Deep Convolutional Networks for Large-Scale Image Recognition
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
• FlowNet: Learning Optical Flow with Convolutional Networks
• From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality