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blog.otoro.net
| | karpathy.github.io
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| | Musings of a Computer Scientist.
| | algobeans.com
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| | While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks.
| | www.analyticsvidhya.com
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| | Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
| | 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. M3M, another new model, ex...