# Lecture 4 Examples

📗 My handwriting is really bad, you should copy down your notes from the lecture videos instead of using these.
Lecture 4 Zoom Annotated (2021): Link
Lecture 4 Pre-recorded Annotated (from 2020, please use with caution): Link

# Discussion Sessions

📗 The recorded videos of the session are on Canvas, the notes are not very useful but here they are anyways,
Week 1 Discussion Notes: Link

# Sharing Solutions on Piazza

📗 Use the sign-up sheet: Google Sheet
📗 You can sign up and post anonymously (anonymous Piazza posts are not anonymous to instructors).
📗 You must post before the official deadline of the homework and your post must include: (1) a copy or a screenshot of your version of the question and (2) detailed solution and explanation to how you come up with the solution.
📗 Each good post will receive 0.25 points. Incorrect solutions and/or solutions without explanations will receive no points.

# Q4 Discussion Topic

📗 Please create a follow-up discussion post on the Piazza (it is okay to post anonymously). No Canvas submissions are required. The grades will be updated at the end of the week on Canvas.
📗 The official deadline is June 27: if you post after this deadline, your Quiz grade on Canvas will not be updated until the midterm or the final exam. You can post and earn the points until July 18.
📗 Go to the MobileNet demo: Link. Find two images of the same object (or two similar objects), one of which is classified correctly and the other is classified incorrectly. Share the screenshots of the images and the labels on Piazza, and briefly discuss why you think the image may be classified incorrectly: Link.
📗 The images can be photos you take, pictures you draw, or images you find on the Internet, you should explain in the post where you got the images from.
📗 In order for an image to be classified correctly, the object in the image must come from one of the ImageNet classes: Link.


Images from Korean TV Series "Start Up" (2020) via Netflix.

# Gradient Descent Demo

Start