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jonathanbgn.com
Since the deep learning wave started in the early 2010s, there has been much hype and disappointments. I feel that a big part of this is due to high expectations driven by research progress that do not translate so well in real-world applications. Hopefully, self-supervised learning might be able to close the gap between these two worlds. This learning paradigm is not new, but it has seen a resurgence of interest over the past few years thanks to mediatized successes like GPT-3 or BERT. Many AI pundits h... |
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blog.fastforwardlabs.com
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rssdss.design.blog
Hi everyone- Another month, another UK Prime Minister it seems - certainly the rate of political dramas doesn't seem to be slowing...Perhaps time for a breather, with a wrap up of data science developments in the last month. Following is the November edition of our Royal Statistical Society Data Science and AI Section newsletter- apologies... |
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cpldcpu.com
Going along with implementing a very size optimized neural network on a 3 cent microcontroller I created an interactive simulation of a similar network. You can draw figures on a 8x8 pixel grid and view how the activations propagate through the multi-layer perception network to classify the image into 4 or 10 different numbers. You... |
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