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 ankane.org
Emotion Recognition in Ruby
| | tcode2k16.github.io
WPICTF 2019 S3L3CT Writeup ยท Alan's Blog
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| | a random blog about cybersecurity and programming
| | igorstechnoclub.com
Week 5 in Data Science: Image recognition neural network with 90% accuracy - a trivial task | Igor's Techno Club
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| | This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain...
| | speakerdeck.com
Make Your Own Neural Network with Ruby at If.rb #5 - Speaker Deck
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| | Since the breakthroughs five years ago that unleashed deep learning on the world, it has been described as being able to automate any mental task that w...
| | blog.fastforwardlabs.com
"Hello world" in Keras (or, Scikit-learn versus Keras)
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| This article is available as a notebook on Github. Please refer to that notebook for a more detailed discussion and code fixes and updates. Despite all the recent excitement around deep learning, neural networks have a reputation among non-specialists as complicated to build and difficult to interpret. And while interpretability remains an issue, there are now high-level neural network libraries that enable developers to quickly build neural network models without worrying about the numerical details of floating point operations and linear algebra.