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polukhin.tech
| | coen.needell.org
4.4 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. M3M, another new model, ex...
| | sander.ai
4.4 parsecs away

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| | Slides for my talk at the Deep Learning London meetup
| | d2l.ai
9.2 parsecs away

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| | dennybritz.com
38.6 parsecs away

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| Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming.