I'm a neuroscientist in a doctoral program but I have a growing interest in deep learning methods (e.g., http://deeplearning.net/ ). As a neuroscientist using MR imaging methods, I often rely on tools to help me classify and define brain structures and functional activations. Some of the most advanced tools for image segmentation are being innovated using magical-sounding terms like Adaboosted weak-learners, auto-encoders, Support Vector Machines, and the like.
While I do not have the time to become a computer-science expert in artificial intelligence methods, I would like to establish a basic skill level in the application of some of these methods. Soylenters, "Do I need to know the mathematical foundation of these methods intimately to be able to employ them effectively or intelligently?" and "What would be a good way of becoming more familiar with these methods, given my circumstances?"
(Score: 0) by Anonymous Coward on Tuesday June 30 2015, @04:16PM
This is not what you are looking for ..exactly, but it's pretty cool stuff and if you are not aware of it - you might want to be.
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This youtube person have a quick video and links to related papers and such.
Enjoy!
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https://youtu.be/qv6UVOQ0F44 [youtu.be]