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8 PM – Advanced AI/ML – Darin

June 4 @ 8:00 pm - 9:00 pm

Today’s Activities:

  1. Finished the YOLO project, did multiclass classification on web cam feed or pre-recorded videos.

Homework:

Watch the following video and write your answers to a file called Jun4_CNN_HW1.txt. Upload to google drive when you are done:

  • What does CNN stand for, and what type of data is it especially good at working with?
  • Why is it hard for a regular neural network to understand images?
    Hint: Think about how many pixels an image has.
  • What is a filter/kernel in a CNN?
    Explain it in your own words.
  • What kind of “features” might early CNN filters detect in an image?
  • What is a feature map?

Notes:

You can reach me at ddjapri@ayclogic.com.

All class notes can be found here.

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