ML One
Lecture 12
Summary sheet and mock questions
+
demo ML web apps
Welcome 👩🎤🧑🎤👨🎤
First of all, don't forget to confirm your attendence on
Seats App! Happy New Year!!! 🥰🎄🎉🎊🧧
🎤Today's plan:
- get you prepared for the assessment (multiple choice exam + presentation)
- and play around with some interactive ML web app (not IOS apps but these could be inspirational)
- and feel relaxed
🤪A music making
AI to wake us up
- it generates both lyrics (text) and the tune (audio) based on a prompt
- a demo
video on how people use this
- any thoughts?🧐
Assessment Info
- Presentation: pick an AI model and present (what are its input/output? what can it do? and a proposal plan of application, no training/implementation is required)
Here is a gallery of interactive web apps that use ML techniques (body pose detections, hand pose detection, face detection, etc. ).
- Let's have a look!!!
Here is a gallery of interactive web app using ML techniques.
- For the next ~20 minutes, choose and play with at least three demo apps that you like🤩😍
😎These web apps usually use webcam and laptop microphone for sensory input, you can easily extend these ideas to IOS apps using phone camera and microphone
😎Of course, you can choose to present model and application OTHER THAN these XXX detectors, for instance, you could present generative AI model like Stable Diffusion and how you plan to incorporate that into an IOS APP.
Summary sheet with mock questions
here 🌶️Start working on the presentation early!!!
- See you all next week same time and same place 🌶️