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matt.might.net | ||
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sausheong.github.io
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| | | | | I have written a lot of computer programs in my career, most of the time to solve various problems or perform some tasks (or sometimes just for fun). For most part, other than bugs, as long as I tell the computer what to do very clearly (in whichever the programming language I use) it will obediently follow my instructions. This is because computer programs are really good at executing algorithms - instructions that follow defined steps and patterns that are precise and often repetitious. | |
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michael-lewis.com
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| | | | | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. | |
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ujjwalkarn.me
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| | | | | An Artificial Neural Network (ANN) is acomputational modelthat is inspired by the way biological neuralnetworks inthe human brain process information. Artificial Neural Networks have generated a lot ofexcitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing. In this blog post we will try to... | |
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blog.paperspace.com
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| | | Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG. | ||
