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Back to week 2 page: Link

# Lecture 8 Examples

📗 My handwriting is really bad, you should copy down your notes from the lecture videos instead of using these.
Lecture 8 Zoom Annotated (2021): Link
Lecture 8 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 2 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.

# Q8 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 July 4: 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 Transformer demo: Link. Select "Custom prompt", write two complete sentences (not just a few words or phrases), and use the Transformer to generate two short stories, preferably one that makes sense and the another one that doesn't. Share the screenshots on Piazza: Link.
📗 There is a weekly limit of words generated by this website, in case you reach the limit, you can also try this website: Link. You can generate a few paragraphs phrase by phrase. You can also read more about various types of Transformers on the website (they are not covered during the lectures).
📗 Other websites to try: Link and Link.

# Filter Animations

📗 2D filters:
Filter

Image by Alexandru Malanca via adatis
📗 3D filters:
Filter

Image by Martin Gorner via stack exchange
📗 2D Convolution Tool:
o = .

# Filter Demo




# Convolutional Neural Network Demo



Number of input units:
Number of hidden units:
Number of output units:






Last Updated: November 30, 2024 at 4:34 AM