Samuel Clay
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[ Home | Articles | Account | People | Projects | FAQ ] Backbonification: migrating a large JavaScript project from DOM spaghetti to Backbone.js | OfBrooklyn.com
Backbonification: migrating a large JavaScript project from DOM spaghetti to Backbone.js | OfBrooklyn.com: "On the left there is a list of feeds inside a list of folders. These folders and feeds can be embedded inside each other, creating a recursive structure that can be easily assembled by Backbone.js. Each feed view also contains an unread count, a feed title, a favicon, and a feed menu. All of these views are generated by their respective parents. Your job at this stage is to simply figure out what those views are so you can create the appropriate models, views, and controllers (routers)."Want to be able to downgrade your apps? Save ‘em before updating.
Want to be able to downgrade your apps? Save ‘em before updating.: "If you change your mind and want to go back to how it was before, drag that backup you made back into iTunes, and tell iTunes to replace the current version. Sync your device, and if you backed up your Documents/Library folder, drag your backup back into the original app folder within iExplorer.seewave - an R package for sound analysis and synthesis
seewave - an R package for sound analysis and synthesis:Denoising Autoencoders (dA) — DeepLearning 0.1 documentation
Denoising Autoencoders (dA) — DeepLearning 0.1 documentation: "See section 4.6 of [Bengio09] for an overview of auto-encoders. An autoencoder takes an input and first maps it (with an encoder) to a hidden representation through a deterministic mapping, e.g.:"Geoff Hinton - Recent Developments in Deep Learning - YouTube
Geoff Hinton - Recent Developments in Deep Learning - YouTube: ""Naive Bayes classifier - Wikipedia, the free encyclopedia
Naive Bayes classifier - Wikipedia, the free encyclopedia: "In simple terms, a naive Bayes classifier assumes that the presence or absence of a particular feature is unrelated to the presence or absence of any other feature, given the class variable. For example, a fruit may be considered to be an apple if it is red, round, and about 3" in diameter. A naive Bayes classifier considers each of these features to contribute independently to the probability that this fruit is an apple, regardless of the presence or absence of the other features."bextract - Google Search
bextract - Google Search: "If you find yourself using bextract, you probably have done something wrong"New HTML Parser: The long-awaited libxml2 based HTML parser code is live. It needs further work but already handles most markup better than the original parser.
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