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 sander.ai
Slides for my talk at the Deep Learning London meetup - Sander Dieleman
| | studywolf.wordpress.com
Spiking neural networks take control | studywolf
1.6 parsecs away

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| | Back in September I had an review article in Science Robotics published, discussing new work from Abadia et al, 2021 titled A cerebellar-based solution to the nondeterministic time delay problem in robotic control. In my review I talk about the parallel's between the brain inspired approach Abadia et al used to create a neural circuit...
| | polukhin.tech
Lightweight Neural Network Architectures | Andrii Polukhin
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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.
| | ojs.aaai.org
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction | Proceedings of the AAAI Conference on Artificial Intelligence
2.0 parsecs away

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| | [AI summary] The article introduces ST-ResNet, a deep learning model designed to predict city-wide crowd flows by analyzing spatio-temporal data and external factors like weather across regions in Beijing and New York City.
| | www.paepper.com
Training a neural network with Numpy :: Päpper's Machine Learning Blog - This blog features state of the art applications in ...
19.9 parsecs away

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| [AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization.