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kpzhang93.github.io | ||
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sander.ai
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| | | | | Slides for my talk at the Deep Learning London meetup | |
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ojs.aaai.org
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| | | | | [AI summary] The article introduces ST-ResNet, a deep learning model designed to predict city-wide crowd flows by analyzing spatio-temporal data and external factors like weather across regions in Beijing and New York City. | |
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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. | |
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www.danieldjohnson.com
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| | | Writeup for my first major machine learning project. | ||