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I’ve been thinking about what it actually means to create something “with AI” versus creating something “yourself.”
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I previously learned how to crochet.
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A colleague at work asked me for some tips on learning German and her situation and goals were fairly common so I thought I’d write up some notes here.
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My niece reached out to me a few days back asking about tips for studying at school.
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I love blogging and I’ve benefitted a lot from what it’s done for me ever since I started my first Geocities page in the mid 1990s.
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[caption id=“” align=“alignnone” width=“768”] Not by Vermeer.
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I read 75 books this year (over 22,000 pages), and a few days still remain.
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A common criticism of deep learning models is that they are ‘black boxes’.
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[These are mainly notes for myself, based off Jeremy Howard’s ‘Lesson 0’ video that was recently posted.
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One of the main ways that using neural networks to train models is different from traditional (imperative) programming can be illustrated with a specific task: let’s say you want to use a computer to tell you whether any particular photo you give it is a…
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The use of neural networks / architectures is a powerful pattern, but it’s worth remembering that this pattern is part of the broader category of machine learning.
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[This is part of a series on getting out of a language-learning plateau at the intermediate-advanced level.
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Graphics Processing Units or GPUs are what your computer uses to quickly display your screen.
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I’ve now read a little about Rosenblatt’s Perceptron in two different places: in the Howard/Gugger Deep Learning book, and also in Cade Metz’ Genius Makers.
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I’ve been re-reading Jeremy Howard & Sylvain Gugger’s Deep Learning for Coders with Fastai and PyTorch and I really appreciate the reminder that a lot of barriers to entry into the Deep Learning space can be productively put to one side.
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Parallel Distributed Processing: Explorations in the Microstructure of Cognition, a multi-volume publication by David Rumelhart, James McClelland and the PDP Research Group, was released in 1968 and is recognised as one of the most important works relating
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The field of deep learning seems to have had a rough journey into public consciousness and adoption.
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Deep Learning is an incredibly powerful technology and there are a number of (focused / specific) areas where it already surpasses human-level abilities.
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jQuery and Handlebars are both external to the core functionality of JavaScript.
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Handlebars is a simple templating language that you can use with your JavaScript code.