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swethatanamala.github.io | ||
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coen.needell.org
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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dennybritz.com
Recurrent Neural Networks (RNNs) are popular models that have shown great promise in manyNLP tasks. |
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nlp.seas.harvard.edu
The Annotated Transformer |
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ewintr.nl
[AI summary] A guide on configuring nginx to set caching headers for specific file types like images and fonts using the expires directive and mime.types file. |
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