Tag Archives: AI

Machine Learning – results

So, I reached the point where my Neural Network , after a couple of thousand training iterations, is capable of correctly identifying and separating different categories of input into their corresponding classes. More specifically, as “targets”, I’ve chosen a number … Continue reading

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Machine Learning – normalizing your inputs

Often it pays off  to pre-process/normalize your input data before passing it further down the line of your Neural Network, eg. to get the range of input values into a scale more suitable for your network. Im experimenting with images, … Continue reading

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Machine Learning

It’s been a while since I played with Machine Learning and AI. Last time I was using C++, this time I used Python & Numpy. A world of difference: although I no longer can find the C++ hack, I know … Continue reading

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Signal vs Noise – target recognition using Neural Networks

A Python hack implementing a 3 level Neural Network. After 500 iterations of training, the network is capable of fully separating Targets (non random numeric patterns) from noise, i.e random numeric sequnces.

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