Tag: Machine learning
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Mo Salah, penalties and artificial intelligence
Last night, as Leicester City played Liverpool, Mo Salah, current top scorer in the English Premiership, was taken down in the penalty box and then stepped up to take the (correctly-awarded) penalty. Salah hardly ever misses a penalty. It’s about as nailed on as you can get that he will score. Except last night he […]
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Convolutional network (again)
With time on my hands I have returned to working on an old project – attempting to build a convolutional network that will solve chess puzzles. (A convolutional network is a type of neural network – a modelled ‘artificial intelligence’ that can be used to detect patterns or undertake similar tasks.) Here I am not […]
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Even more about neural networks
Because I essentially got it wrong in the last post … turns out that a fully connected network is, generally, not a great idea for image processing and that partial connections – through “convolution layers” are likely to be more efficient. And my practical experience backs this up: my first NN did, in effect, have […]
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Learning more about neural networks
Cheap and accessible books on neural nets are not easy to find – so I bought “Practical Neural Network Recipes in C++” as a second-hand book on Amazon (link). According to Google Scholar this book – though now 24 years old – has over 2,000 citations, so it ought to be good, right? Well, the […]
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Back to neural networks
Neural networks have fascinated me for a long time, though I’ve never had much luck applying them. Back in the early and mid 1990s the UK’s trade and industry department ran a public promotional programme to industry about NNs and I signed up, I even bought a book about how to build them in C++ […]
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The opportunities of AI
Embed from Getty Images A computer program – AlphaGo – has now beaten the world’s greatest Go player and another threshold for AI has been passed. As a result a lot of media commentary is focusing on threats – threats to jobs, threats to human security and so on. But what about the opportunities? Actually, […]
cartesian product ... stuff about computing mostly 