Week 3 2019 Spring

Homework:

Video:
- The 7 Steps of Machine Learning
Coding:
- Use Teachable Machine Prototype to train an image/speech classifier, write down your idea, project description, your process of training the classifier, and thoughts on your blog.
- Document your project with screenshots or videos. Add your blog link below.

Teachble Machine Example: Check out examples of building an image/webcam/audio example. (The repo is private, plz send me an email if you didn't get an invite to the repo)

Your name, [Project name](Project Link), Project Description
Eva Philips, Mood Agent, Keep the ball afloat by saying the word "Happy"
Xinyue Li,[RGB Composition] (http://lxy.hosting.nyu.edu/machine-learning-for-the-web/rgb-composition-with-teachable-machine/), show the RGB composition of the image/video input and turn it into abstract art.
Caleb Savage, [Screen Locker] (https://calebsavage.github.io/ml4w-week3/) Obscure the web page when the camera can't recognize my face.
Dylan, Duet Machine, Tired of singing duets alone? Try this machine!
Daniel mutter Shazam, because Shazam is just not enough
Fenfen Chen Audio Classifier, recognize “Dance” and “Run” according to my load model, but I originally hoped that the recognition could also trigger the corresponding GIF file to play and pause.
Yves, Color Detector, A webcam that detects the color of objects and show you a list of other objects that may potentially have the same color.
August, Left Right CYOA, Simple prototype for a webcam controller for a Choose Your Own Adventure Game in the Browser
Khensu-Ra, Macros Detector, Low-Fidelity prototype of a web app that shows macronutrients of certain, pre-trained food objects/classes.
Alice Sun, Interactive Text/Doc, Interactive simulation text example with image classification
Sachiko Nakajima, simple review of audio classifier review of imgae classifier, Some reviews of how the machine classifier works or not
Louise Lessel Slouching? A test of two algorithms
Suzanne Li Sound classifier