You can download the lectures here. We will try to upload lectures prior to their corresponding classes.

  • Lecture 1 | Overview
    tl;dr: In this lecture, we will overview technologies which bring deep learning into mobile, and also set the outcomes for the training.
    [video] [slides]
  • Guest Lecture by Myeong Hoon | Basics of Android
    tl;dr: In this lecture, you will develop a starter Android application in Java. MH will showcase how to build a simple Login page using intents.
    [code]
  • Lecture 2 | Classification
    tl;dr: In this lecture, we will cover classification task, CNNs and also break down powerful model widely used in mobile vision: MobileNets.
    [video] [slides]
  • Lecture 3 | Segmentation
    tl;dr: In this lecture, we will describe principles of segmentation with CNNs and investigate baseline models from computer vision research.
    [video] [slides]
  • Guest Lecture by Dr Ahn | OpenCV in Android
    tl;dr: In this lecture we will learn how to configure OpenCV on Android and run a simple application which utilizes Canny edge detector.
    [video] [slides] [code]
  • Lecture 4 | Detection
    tl;dr: In this lecture, we will describe principles of detection with CNNs and also investigate baseline one-stage detection models from computer vision research.
    [video] [slides]