Deep Learning in Rust: a walk in the park
This is a sequel to my previous post several months ago. Last time, I introduced a shoddy library named deeplearn-rs that allowed you to build and (manually) train neural networks that run on your GPU via OpenCL. I told you to “take a gander” at some atrocious code that constructed a rather useless XOR network and then didn’t bother to train it. For reasons unknown, I still got positive feedback.
Deep Learning in Rust: baby steps
Meta Edit 2/2/2016: I wrote this post when deeplearn-rs was only a week old. This is more of a journal post where I reflect on things. To see the latest deeplearn-rs, the readme on the github repo is probably the best place to look. Last semester[1] I flailed around trying to get into deep learning. I felt kind of guilty for jumping onto the hype train[2]. Deep Learning is a guilty pleasure. I wen
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