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tachy.org
| | mikelynch.org
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| | Here are the thousand image categories in the ImageNet Challenge data visualisation context, rendered onto a webcam photo of me using the deepdraw technique. This is the set of image classifications which the standard Deepdreams imagery is based on: as more than one hundred of the categories are dog breeds ...
| | www.akc.org
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| | tomaugspurger.net
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| | Welcome back. As a reminder: In part 1 we got dataset with my cycling data from last year merged and stored in an HDF5 store In part 2 we did some cleaning and augmented the cycling data with data from http://forecast.io. You can find the full source code and data at this project's GitHub repo. Today we'll use pandas, seaborn, and matplotlib to do some exploratory data analysis. For fun, we'll make some maps at the end using folium.
| | blog.fastforwardlabs.com
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| Image from Social Soul, an immersive experience of being inside a social media stream, by Lauren McCarthy and Kyle McDonald A few weeks ago, theCUBE stopped by the Fast Forward Labs offices to interview us about our approach to innovation. In the interview, we highlighted that artists have an important role to play in shaping the future of machine intelligence. Unconstrained by market demands and product management requirements, artists are free to probe the potential of new technologies. And by optimizing for intuitive power or emotional resonance over theoretical accuracy or usability, they open channels to understand how machine intelligence is always, at its essence, a study of our own humanity.One provocative artist exploring the creative potential of new machine learning tools is Kyle McDonald. McDonald has seized the deep learning moment, undertaking projects that use neural networks to document a stroll down the Amsterdam canals, recreate images in the style of famous painters, or challenge our awareness of what we hold to be reality. We interviewed Kyle to understand how he understands his work. Keep reading for highlights: