3.2: Selecting an ML model to use

[@GoogleDevelopers]

Catch more episodes from Machine Learning for Web Developers (Web ML) → goo.gle/learn-WebML

[@Gabriel-iq6ug]

All the videos in this playlist surprised me by teaching me something I didn't expect. This feels great

[@JasonMayes]

That's great to hear!

[@ErickWendelTraining]

I've been enjoying a lot this course! Thanks Jason for the amazing work

[@JasonMayes]

Most welcome Erick! Thanks for the kind words!

[@himnishbhansali2099]

Amazing course I've been using AI and this course has helped me a lot, thanks jason and google team.

[@Gabriel-iq6ug]

With WebGPU (enabled in Chrome by default recently), I would expect the FPS to get higher, but I haven't tried it yet

[@jasonmayes_goog]

It can run models around 2 - 3.8x faster depending on the model architecture

[@aneerimmco]

informative!!!

[@RikyPerdana]

Runtime memory is none of my concern. I can download more RAM whenever I need to

[@SanatanSages]

Me CPU

[@BorhanChowdhuryChittagong]

your ways of breaking down a problem and picking the right solution for the problem is amazing. Really appreciate your effort to teaching us ML :) @jason mayes

[@jasonmayes_goog]

Glad you are enjoying! Sorry for not replying sooner as this is hosted on Google Developers I do not get notifications on comments.