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torch.ch | ||
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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.ntentional.com
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| | | | | Highlights from my favorite Deep Learning efficiency-related papers at ICLR 2020 | |
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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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www.nancy.cc
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| | | Tierra album In 1981, the baby name Tierra suddenly jumped into the girls' top 1,000: 1983: 289 baby girls named Tierra [rank: 609th] 1982: 260 baby girls named Tierra [rank: 678th] 1981: 344... | ||
