self.block is not taking the parameters in_channels and out_channels. This slide is not an intermediate step where the hardcoded parts would be updated later.
Sorry, I want to make sure I’m understanding the details here. For starters, you tagged this thread as week-module-1, but the title is referring to Module 4, right? From the content, my guess is it’s really week-module-4.
The next question is exactly where this is. If it is actually in one of the lectures, please give the title of the lecture and the time offset.
If it’s in the notes PDF, please give us the page number.
Just based on the screen shot you include, I agree that the ConvBlock code does not look correct.
1 Like
I believe the code presented in the lectures is not guaranteed to run as-written. They’re mostly examples, rather than code templates.
The slide is in Course 1 Module 4 “Core Neural Network Components“, video titled “Modular Architectures“ starting 3:02. I didn’t look at the lecture notes. Maybe they contain the error as well.
1 Like
Thanks for the additional information. I’ll go rewatch that lecture to make sure I’ve got the full context and then file a git issue about this.
I used the little “edit pencil” on the title of the thread to change the tag to week-module-4.