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Here is some feedback for the workshop and I'd love to participate in improving the workshop!
Presenter:
- Excellent pacing and very clear explanation of complex concepts!
- Multiple breaks help pacing the workshop and participants used that time to ask questions.
- I like how presenter showed what the future workshops on deep learning will cover!
Content:
- This workshop covers a lot of important content and concepts! Participants expressed that the workshop was very useful (in the chat at the end of the workshop)
- The instructor used iPad to draw diagrams / explain and incorporating by imbedding photos into the jupyter notebook will be helpful.
- Introduction slide decks explaining broad concepts machine learning and what we will cover (and not cover) were very helpful.
- Some repetition of the process might be helpful (explicitly showing case by case what the model, the loss function, the goal etc). There are a lot of jargon and it might be helpful to have a cheat sheet / list of terms with brief definition might also be helpful.
- Bullet points for objectives for each lesson might be helpful to clarify what concepts are covered for each lesson!
- It would be nice to have a "take-home message slide" that summarizes what we have covered for the workshop.
- There are challenge questions with no coding component (For example, lesson 03, challenge 1), and it would be a good opportunity to use zoom poll function to see where participants are in terms of understanding concepts.
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