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AutoML for Natural Language Processing with Abhishek Thakur - #475
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
How to Tune Perameters in an Autoemal Model?
It's a combination of both grid and bisin approaches. We're trying to so as i mentioned previously, automatic machine learing, or any kind of autoemal model, you probably don't need to tune all perameters all the time. So these kand of tricks you can do. You just need to know, what should i do? Like, if i increase the depth, i should decrease the learning rate. These kind of tricks you should know, and then you will be able to build your own antoemal solution. This sounds like an area that you've invested some crating, some ip into. Is it simple grid base approaches? Or is it exotic
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