Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

Pooling layers play a key role in deep neural networks, especially in convolutional neural networks (CNNs). In this video, we break down what pooling layers do, how they reduce spatial dimensions, and ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

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Opinion Networks bury explosive Russiagate revelations after they hyped the hoax Networks that spent 2,284 minutes on Russiagate now largely ignore as it falls apart ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification ...

For the first time, researchers at the Netherlands Institute for Neuroscience and Amsterdam UMC have identified what happens in neural networks deep within the brain during obsessive thoughts and ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

This article presents a complete demo of neural network quantile regression using the C# language. To the best of my knowledge, there are no existing code libraries that directly implement neural ...