3.2: Selecting an ML model to use

From the creator

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) → https://goo.gle/learn-WebML Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube Subscribe to Google Developers → https://goo.gle/developers Connect with Jason Mayes to ask questions: LinkedIn → https://goo.gle/3GwgeLw Twitter →https://goo.gle/3Xh6MT7 Discord →https://goo.gle/3WWVO5t 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 → http://goo.gle/made-with-tfjs

Published 2023-01-11 · Watch on YouTube ↗
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