Tag Archives: Neural networks

AlphaGo – The Movie

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Neural Networks

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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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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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