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Cool project! Makes me want to recommend to my brother to start something like this. Would definitely recommend trying vectorised calculus (instead of calculat
by halflings 9y ago
Cool project! Makes me want to recommend to my brother to start something like this.
Would definitely recommend trying vectorised calculus (instead of calculating the output with loops [0])
I'd also advise you to steer from some apparently neurology-inspired terms (stimulus) and use terms more common in machine learning (vector, features, etc.).
If you want to go further with this, you could try to implement back propagation with different activation functions and any depth. Check CS231n [1], the reference course for this.
[0] https://github.com/made2591/go-perceptron-go/blob/master/util/mixed.go#L80 https://github.com/made2591/go-perceptron-go/blob/master/uti...
[1] http://cs231n.stanford.edu/ http://cs231n.stanford.edu/
- made2591 9y agoHi! I'm just doing it right now, I'm in the middle of sigmoid testing :D I'm agree with you about terms, for my master thesis I wrote a neuro-computational model to analyze taxonomic responses in early childhood, so I think in term of stimulus because of my background in AN (if interested, you can find the work in my Github page https://made2591.github.com https://made2591.github.com in About section)...I will port my private repo on Github soon :) (but is written in MATLAB)