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enginius.tistory.com | ||
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dustintran.com
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| | | | | Having recently finished some papers with Rajesh Ranganath and Dave Blei on variational models [1] [2], I'm now a bit free to catch up on my reading of recen... | |
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coen.needell.org
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| | | | | In my last post on computer vision and memorability, I looked at an already existing model and started experimenting with variations on that architecture. The most successful attempts were those that use Residual Neural Networks. These are a type of deep neural network built to mimic specific visual structures in the brain. ResMem, one of the new models, uses a variation on ResNet in its architecture to leverage that optical identification power towards memorability estimation. M3M, another new model, ex... | |
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www.machinedlearnings.com
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| | | | | Rather than a laundry list of papers, I thought I would comment on some trends that I observed at NIPS this year. Deep Learning is Back Fo... | |
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margint.blog
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| | | One discussion I find myself in more often recently is people asking me whether something is "really AI" or not. Often, what people seem to mean with that is whether someone is already using deep learning, or still "just" machine learning. I mentioned this to a friend in the industry and he just rolled his... | ||
