Tag Archives: Neural networks

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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Improving Python performance by factor of 100

I’m doing a bit of Machine Learning on my spare time. A neural network that analyzes images. Anyways, since I don’t have zillions of computing power, any decent amount of learning data takes hours and days to process thru my … Continue reading

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The power of Machine Learning

https://www.theguardian.com/technology/2017/sep/07/new-artificial-intelligence-can-tell-whether-youre-gay-or-straight-from-a-photograph Machine Learning has an amazing ability to detect patterns where mere mortals fail to do so. As always, any technology can be used for good, as well as bad.

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Neural Networks – training the network using an SGD

In order to understand how my chosen strategy for finding new weights, namely an SGD, actually operates, I did a bit of analysis. The graph below shows the flow of one single input, in a trivial, “linear” neural network, with only … 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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Machine Learning with PyBrain

Looks very impressive, a comprehensive library for machine learning using Python.

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Proof for intelligent design and creationism

As my frequent readers know, I’be been experimenting with neural networks (type of artificial intelligence) over the past couple of weeks. More specifically, I’ve been using neural networks for image recognition. Have a look at the previous couple posts on … Continue reading

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Feeling like God – understanding the design in detail, but not the outcomes: Neural Networks

(First of all, to clarify any potential for misunderstandings: I’m not religious, I do not believe in an almighty God – for that to happen, the teodice problem should have a clear and understandable solution, among other things…) Ok, back … Continue reading

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