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 polukhin.tech
Lightweight Neural Network Architectures | Andrii Polukhin
| | sander.ai
Slides for my talk at the Deep Learning London meetup - Sander Dieleman
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| | Slides for my talk at the Deep Learning London meetup
| | coen.needell.org
ResMem and M3M - Coen D. Needell
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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.
| | d2l.ai
3. Linear Neural Networks for Regression - Dive into Deep Learning 1.0.3 documentation
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| | kavita-ganesan.com
A Gentle Introduction to Deep Neural Networks with Python - Kavita Ganesan, PhD
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| This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to model accuracy), and which tasks they are designed to learn.