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coen.needell.org | ||
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www.paepper.com
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| | | | | Recent advances in training deep neural networks have led to a whole bunch of impressive machine learning models which are able to tackle a very diverse range of tasks. When you are developing such a model, one of the notable downsides is that it is considered a "black-box" approach in the sense that your model learns from data you feed it, but you don't really know what is going on inside the model. | |
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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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swethatanamala.github.io
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| | | | | In this paper, authors proposed a new simple network architecture, the Transformer, based solely on attention mechanisms, removing convolutions and recurrences entirely. Transformer is the first transduction model relying entirely... | |
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www.v7labs.com
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| | | Learn about the different types of neural network architectures. | ||
