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 ojs.aaai.org
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction | Proceedings of the AAAI Conference on Artificial Intelligence
| | coen.needell.org
ResMem and M3M - Coen D. Needell
2.4 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.
| | polukhin.tech
Lightweight Neural Network Architectures | Andrii Polukhin
2.7 parsecs away

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| | As the field of Deep Learning continues to grow, the demand for efficient and lightweight neural networks becomes increasingly important. In this blog post, we will explore six lightweight neural network architectures.
| | futurism.com
Biggest Neural Network Ever Pushes AI Deep Learning
3.1 parsecs away

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| | Digital Reasoning, a cognitive computing company, just announced that it has trained a neural network consisting of 160 billion parameters-more than 10 times larger than previous neural networks.
| | blog.scottlogic.com
The basics of the Layered Neural Network
8.9 parsecs away

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| Recently I've been learning about Neural Networks and how they work. In this blog post I write a simple introduction in to some of the core concepts of a basic layered neural network.