Front-end Developer at Realtruck.com, Organizer of Orlando’s Project Code Experience Meetup, Co-Host of the Tech Jr Podcast, and all-around Junior Developer Advocate.
Not really... It's hard to successfully train models in the first place, but I think it's possible to use some pre-trained models with good results.
AR for example uses object detection under the hood to figure out where to render 3d objects.
It could also be useful if you had a data set that you could parse and train. You could visualize the data with JS and then have a prediction function built into the browser as well.
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I wish the educational resources for ML in JS were richer. It's hard to find usefulness in it when it's only predicting images at ~35% confidence.
Have you found any practical applications of ML in your own projects yet?
Not really... It's hard to successfully train models in the first place, but I think it's possible to use some pre-trained models with good results.
AR for example uses object detection under the hood to figure out where to render 3d objects.
It could also be useful if you had a data set that you could parse and train. You could visualize the data with JS and then have a prediction function built into the browser as well.