ODSC - Open Data Science

SEPTEMBER 18, 2024

Convolutional neural networks (CNNs) differ from conventional, fully connected neural networks (FCNNs) because they process information in distinct ways. CNNs use a three-dimensional convolution layer and a selective type of neuron to compute critical artificial intelligence processes.

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Convolutional Neural Networks Neural Network Computer Vision Data Scientist 40

Marktechpost

SEPTEMBER 29, 2024

In response, Google utilizes a deep neural network, CTG-net, to process the time-series data of fetal heart rate (FHR) and uterine contractions (UC) in order to predict fetal hypoxia. The CTG-net model utilizes a convolutional neural network (CNN) architecture to analyze FHR and UC signals, learning their temporal relationships.

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Deep Learning Convolutional Neural Networks AI Researcher AI Research 62

Marktechpost

SEPTEMBER 30, 2024

While the Adam optimizer has become the standard for training Transformers, stochastic gradient descent with momentum (SGD), which is highly effective for convolutional neural networks (CNNs), performs worse on Transformer models. This Magazine/Report will be released in late October/early November 2024.

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Neural Network Convolutional Neural Networks BERT Explainability 57

NYU Center for Data Science

SEPTEMBER 11, 2024

Ho’s innovative approach has led to several groundbreaking achievements: Her team at Carnegie Mellon University was the first to apply 3D convolutional neural networks in astrophysics. She led the first effort to accelerate astrophysical simulations with deep learning.

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Convolutional Neural Networks Neural Network Deep Learning Data Science 54

Becoming Human

JULY 23, 2024

Photo by Daniel Öberg on Unsplash Denoising CT images with Convolutional Neural Networks (CNNs) represents a significant advancement in medical imaging technology. CNNs, a class of deep-learning neural networks, have proven exceptionally effective in addressing this issue.

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Convolutional Neural Networks Neural Network Deep Learning Artificial Intelligence 45

Flipboard

MAY 17, 2023

I don’t really enjoy driving, so when I see these pictures from popular magazines in the 1950s of people sitting in bubble-dome cars, facing each other, four people enjoying themselves playing cards on the highway, count me in. Convolutional neural networks being able to label regions of an image. Brooks: Absolutely.

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Large Language Models Robotics Convolutional Neural Networks Neural Network 182

Becoming Human

MARCH 16, 2023

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. How do Graph Neural Networks work?

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Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87