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kpzhang93.github.io
| | sander.ai
3.5 parsecs away

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| | Slides for my talk at the Deep Learning London meetup
| | ojs.aaai.org
3.9 parsecs away

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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.
| | coen.needell.org
5.5 parsecs away

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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.
| | www.danieldjohnson.com
20.9 parsecs away

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| Writeup for my first major machine learning project.