Tag: convolutional neural networks
-
What computer output is supposed to look like
This month is the 41st anniversary of me coming face-to-face with a “micro-computer” for the first time – in WH Smith’s in Brent Cross. I am not truly sure how I knew what I was looking at (beyond I suppose the shop’s own signage) – because at that time not even “The Mighty Micro” –…
-
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…
-
Getting a job
I have, essentially, two sets of skills and experience. One is as a political campaigner and communicator. I did well out of that for a while and more than that, did some things I am proud of and feel really privileged to have had a chance to be part of. But it’s fair to say…
-
Giving up on the convolutional network?
For almost three months now I have been trying to build and train a convolutional network that will recognise chess puzzles: but I don’t feel I am any closer to succeeding with it than I was at the start of September and so I wonder if I should just give up. The network itself is…
-
Conv-nets are hard
Months ago I started work on a convolutional neural network to recognise chess puzzles. This evening after mucking about with the learning phase for weeks I thought I had scored a breakthrough – that magic moment when, during learning, a tracked value suddenly flips from the wrong result to the right one. Brilliant, I thought…
-
More and more spam reviews on Amazon
Earlier this month I highlighted how a book that claims to be about using Python to build convolutional neural networks and yet, say readers, contains not a single line of Python, was garnering rave reviews on Amazon. The trend hasn’t stopped and it is pretty clear to me that these are, in fact, spam. Plainly…
-
Can you get a useful result with a random convolution filter?
In a number of places I’ve seen it remarked that a random convolution filter makes for a reasonably efficient edge detector for images, so I thought I’d test this. The answer, perhaps surprisingly, seems to be yes. With 25 input filters in an untrained convolutional neural net (where kernel values were pseudo-randomly distributed between -0.5…
-
Strange reviews on Amazon
Messing about with convolutional neural networks (CNNs) continues to take up some of my time (in case my supervisor reads this – I also have a simulation of a many core system running on the university’s computer atm). I started my research here with a much cited, but really well-out-0f-date book – Practical Neural Network Recipes…
-
First results from the “musical” neural network
I am working on a project to see whether, using various “deep learning” methods, it is possible to take a photograph of some musical notation and play it back. (I was inspired to do this by having a copy of 1955’s Labour Party Songbook and wondering what many of the songs sounded like.) The first task…
cartesian product ... stuff about computing mostly 