Machine (Re)Learning: Neural Networks From Scratch

So needless to say, coming back to it there has been a lot to learn. In the future, I will write a bit more about some of the available tools and libraries that exist these days (both expanding on the traditional AI Stanford libraries I have mentioned previously with my tweet sentiment analysis, plus newer frameworks that cover “deep learning”). Anyway, inspired by this post, I thought it would be a fun Sunday night refresher to write my own neural network. The first, and last, time that I wrote a neural network was for my final year dissertation (and that code is long gone), so was writing from first principals. The rest of this post will be a very straightforward introduction to the ideas and the code for a basic…


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