Category Archives: Machine Learning

Using Bayesian Inference to predict and bet on Italian Serie A Fotball

As my old timer readers know, I’be been using Bayesian Inference to predict and bet on various sporting events, such as FIFA World Cup, and IIHF World Championships. With some success. When the Italian premier division started for about a … Continue reading

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Convolutional Neural Networks with KERAS – Image recognition

A quick test shot with KERAS, inspired by this tutorial using the MNIST dataset of more than 60000 images of hand written digits. Task at hand: correctly identify as many as possible of these 28 x 28 images, looking like … Continue reading

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New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine

A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn. — Läs på http://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/

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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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Artificial Superintelligence..

soon here to kill you…?

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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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