davecom / swiftsimpleneuralnetwork Goto Github PK
View Code? Open in Web Editor NEWA simple multi-layer feed-forward neural network with backpropagation built in Swift.
License: Apache License 2.0
A simple multi-layer feed-forward neural network with backpropagation built in Swift.
License: Apache License 2.0
I've been dabbling in this space for a couple of weeks. perhaps we can help each other.
I love how your code is very simple and elegant.
I see you haven’t included heavy frameworks and just cherry picked the needed code from Surge.
Keeping things simple.
I would say though - I'm getting some good mileage with EasyImagy (needs carthage) / it can build images by pixel arrays safely. I threw this code together(which is a mash up of other code) which builds out 1000 images / 1000 slopes on them. https://github.com/johndpope/Bresenham-Line/blob/master/Bresenham-Line/CMKViewController%2BNet.swift
working on integrating machine learning stuff slowly.
This question on stack overflow was original thought process for this work
https://stats.stackexchange.com/questions/218407/encoding-angle-data-for-neural-network
Been watching the flappy bird clone on coding train on youtube
https://www.youtube.com/watch?v=188B6k_F9jU
CodingTrain/Toy-Neural-Network-JS#50
being able to save out the best neurons would be neat and help persist training across sessions.
https://github.com/CodingTrain/Toy-Neural-Network-JS/blob/master/lib/nn.js#L149
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