I appreciate that you curate the RSS feed. I get very little time for social media these days and I’m glad there’s someone here populating feeds with content.
I’m not a huge fan of cynicism and non-contributory comments when this space is meant to be better than the toxic sites we all fled. There’s a plethora of options for tailoring your feed to exclude unwanted content, none of which require attacking other users acting in good faith.
Thanks to your profile, I found several new communities I will happily follow now. Keep up the good work!
I would ignore the people who say you should deploy a model from someone else as that will teach you next to nothing about how this stuff works.
I would start with an older model and framework (e.g. scikitlearn) and go through all the processing, prediction, and evaluation steps using a model that’s fairly simple to understand. Since you already know about linear regression, start with some of these linear models.
Then, and only then, would I worry about neural networks and deep learning, since the main difference is a non-linear activation function and a much more complicated set of weights (model parameters in the linear regression language).
Source: PhD in neural networks
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yeah. I tried “accelerate” and “exaggerate” before “cause”, but it got confused and repeated the prompt as a caption meme on random images of forests