3.2: Selecting an ML model to use

Now you know what pre-trained models are, how do you select one to use in a real world project? In this section you will walk through a hypothetical real world scenario, breaking down the problem into the following steps:
1. What exactly is the problem you are trying to solve?
2. Once you know the problem, what models do you know of that could assist you in solving this problem?
3. Considering all identified usable models, how do you select one to deliver the best solution?
Here we will cover concepts such as model size (both file size and RAM execution size), and model performance, along with other criteria to find the best model to choose.
Catch more episodes from Machine Learning for Web Developers (Web ML) → goo.gle/learn-...
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Use #WebML to share your learnings and creations from this course to meet your peers on social media!
See what others have already made with Web ML → goo.gle/made-wi...

[@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.

[@aneerimmco]

informative!!!

[@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

[@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.