Deep neural networks beat discrete choice models for long commutes, while DCMs edge out on short trips. Combining both may improve planning. Read more: https://getnews.me/deep-neural-networks-beat-discrete-models-in-workplace-location-choice/ #deepneuralnetworks #discretechoicemodels
October 3, 2025 at 10:18 PM
Deep neural networks beat discrete choice models for long commutes, while DCMs edge out on short trips. Combining both may improve planning. Read more: https://getnews.me/deep-neural-networks-beat-discrete-models-in-workplace-location-choice/ #deepneuralnetworks #discretechoicemodels
Deep neural networks solve the identical‑oscillator Kuramoto equation; tanh activation yields convergence, and 4‑8 hidden layers with 64‑256 neurons cut error. Read more: https://getnews.me/neural-network-approaches-to-solving-the-identical-kuramoto-equation/ #kuramatomodel #deepneuralnetworks
September 19, 2025 at 6:32 PM
Deep neural networks solve the identical‑oscillator Kuramoto equation; tanh activation yields convergence, and 4‑8 hidden layers with 64‑256 neurons cut error. Read more: https://getnews.me/neural-network-approaches-to-solving-the-identical-kuramoto-equation/ #kuramatomodel #deepneuralnetworks
Dive into the comparitive analysis between logarithmic and floating-point arithmetic in neural nets using the commonly used MNIST dataset. #deepneuralnetworks
Deep Learning Runs on Floating-Point Math. What If That’s a Mistake?
hackernoon.com
February 11, 2025 at 8:57 AM
Dive into the comparitive analysis between logarithmic and floating-point arithmetic in neural nets using the commonly used MNIST dataset. #deepneuralnetworks
🚀 We've released a new version of DIANNA, our open-source #ExplainableAI (#XAI) tool designed to help researchers get insights into predictions of #DeepNeuralNetworks.
What's new:
👉improved dashboard
👉extensive documentation
👉added tutorials
MORE: www.esciencecenter.nl/news/new-rel...
What's new:
👉improved dashboard
👉extensive documentation
👉added tutorials
MORE: www.esciencecenter.nl/news/new-rel...
New release of eScience Center's explainable AI tool DIANNA - eScience Center
DIANNA is an explainable AI (XAI) tool that helps researchers get insights into the predictions of Deep Neural Networks. New version released!
www.esciencecenter.nl
December 9, 2024 at 12:45 PM
🚀 We've released a new version of DIANNA, our open-source #ExplainableAI (#XAI) tool designed to help researchers get insights into predictions of #DeepNeuralNetworks.
What's new:
👉improved dashboard
👉extensive documentation
👉added tutorials
MORE: www.esciencecenter.nl/news/new-rel...
What's new:
👉improved dashboard
👉extensive documentation
👉added tutorials
MORE: www.esciencecenter.nl/news/new-rel...
Annals of Computer Science and Information Systems
Presenting an approach to speaker’s #ageclassification using #deepneuralnetworks: “Automatic speaker's age classification in the Common Voice database“ by Adam Nowakowski, Włodzimierz Kasprzak. ACSIS Vol. 35 p. 1087–1091; tinyurl.com/54hrdz7d
Presenting an approach to speaker’s #ageclassification using #deepneuralnetworks: “Automatic speaker's age classification in the Common Voice database“ by Adam Nowakowski, Włodzimierz Kasprzak. ACSIS Vol. 35 p. 1087–1091; tinyurl.com/54hrdz7d
Annals of Computer Science and Information Systems, Volume 35
tinyurl.com
December 6, 2024 at 6:22 AM
Annals of Computer Science and Information Systems
Presenting an approach to speaker’s #ageclassification using #deepneuralnetworks: “Automatic speaker's age classification in the Common Voice database“ by Adam Nowakowski, Włodzimierz Kasprzak. ACSIS Vol. 35 p. 1087–1091; tinyurl.com/54hrdz7d
Presenting an approach to speaker’s #ageclassification using #deepneuralnetworks: “Automatic speaker's age classification in the Common Voice database“ by Adam Nowakowski, Włodzimierz Kasprzak. ACSIS Vol. 35 p. 1087–1091; tinyurl.com/54hrdz7d
Detailed proofs for SPD spaces, inner products, pseudo-gyrodistances, and FC layers, referencing Nguyen & Yang (2023) and Pennec et al. (2020). #deepneuralnetworks
Mathematical Proofs for SPD Inner Products and Pseudo-Gyrodistances in Manifold Layers
hackernoon.com
December 4, 2024 at 8:00 PM
Detailed proofs for SPD spaces, inner products, pseudo-gyrodistances, and FC layers, referencing Nguyen & Yang (2023) and Pennec et al. (2020). #deepneuralnetworks
Learn to Compute canonical representations for SPD matrices using orthonormal matrices & SVD, enabling efficient geometric applications and matrix manipulation #deepneuralnetworks
Canonical Representations and Computation in SPD Matrices
hackernoon.com
December 4, 2024 at 7:00 PM
Learn to Compute canonical representations for SPD matrices using orthonormal matrices & SVD, enabling efficient geometric applications and matrix manipulation #deepneuralnetworks
Gyrogroups, gyrocommutative gyrogroups, and gyrovector spaces are key to hyperbolic geometry and AI, offering insights into advanced mathematical structures #deepneuralnetworks
What Are Gyrocommutative Gyrogroups?
hackernoon.com
December 3, 2024 at 9:00 PM
Gyrogroups, gyrocommutative gyrogroups, and gyrovector spaces are key to hyperbolic geometry and AI, offering insights into advanced mathematical structures #deepneuralnetworks
GyroSpd++ and Gr-GCN++ face limitations with hybrid methods and different Riemannian metrics, suggesting a need for optimization in SPD and Grassmann networks. #deepneuralnetworks
The Limitations of GyroSpd++ and Gr-GCN++ in Human Action Recognition and Graph Embedding Tasks
hackernoon.com
December 3, 2024 at 8:00 PM
GyroSpd++ and Gr-GCN++ face limitations with hybrid methods and different Riemannian metrics, suggesting a need for optimization in SPD and Grassmann networks. #deepneuralnetworks
Gr-GCN++ outperforms competitors in node classification across Airport, Pubmed, and Cora datasets, highlighting the value of perspective in Grassmann manifolds #deepneuralnetworks
Evaluating Gr-GCN++ for Node Classification Across Various Datasets: Results and Comparisons
hackernoon.com
December 3, 2024 at 7:00 PM
Gr-GCN++ outperforms competitors in node classification across Airport, Pubmed, and Cora datasets, highlighting the value of perspective in Grassmann manifolds #deepneuralnetworks
Evaluate GyroSpd++ for human action recognition using HDM05, FPHA, NTU60 datasets, with insights on performance, design, and comparisons to other methods #deepneuralnetworks
Exploring the Impact of Riemannian Metrics in Human Action Recognition Tasks Using GyroSpd++
hackernoon.com
December 3, 2024 at 6:00 PM
Evaluate GyroSpd++ for human action recognition using HDM05, FPHA, NTU60 datasets, with insights on performance, design, and comparisons to other methods #deepneuralnetworks
Learn notations and algorithms for computing pseudo-gyrodistances, crucial for MLR in Riemannian manifold-based neural networks. #deepneuralnetworks
Key Notations and Algorithm for Computing Pseudo-Gyrodistances in Structure Spaces
hackernoon.com
December 2, 2024 at 9:00 PM
Learn notations and algorithms for computing pseudo-gyrodistances, crucial for MLR in Riemannian manifold-based neural networks. #deepneuralnetworks
This paper presents novel advancements in SPD neural networks and Grassmann geometry for action recognition and node classification. #deepneuralnetworks
Bridging Geometry and Deep Learning: Key Developments in SPD and Grassmann Networks
hackernoon.com
December 2, 2024 at 8:00 PM
This paper presents novel advancements in SPD neural networks and Grassmann geometry for action recognition and node classification. #deepneuralnetworks
GyroSpd++ and Gr-GCN++ outperform baselines in human action recognition and node classification, showing superior accuracy on NTU60, FPHA, and Pubmed datasets. #deepneuralnetworks
New Riemannian Networks Outperform Traditional Models in Action Recognition and Node Classification
hackernoon.com
December 2, 2024 at 7:00 PM
GyroSpd++ and Gr-GCN++ outperform baselines in human action recognition and node classification, showing superior accuracy on NTU60, FPHA, and Pubmed datasets. #deepneuralnetworks
Explore a novel method for Grassmann logarithmic maps and GCNs, improving graph embeddings and node learning on Grassmann manifolds #deepneuralnetworks
Graph Embeddings and Node Learning on Grassmann Manifolds
hackernoon.com
December 2, 2024 at 6:00 PM
Explore a novel method for Grassmann logarithmic maps and GCNs, improving graph embeddings and node learning on Grassmann manifolds #deepneuralnetworks
Explore how hypergyroplanes and pseudo-gyrodistances revolutionize multinomial logistic regression in structure spaces, adapting it to the Riemannian manifold #deepneuralnetworks
Manifold Geometry Meets Logistic Regression: The Rise of Hypergyroplanes
hackernoon.com
December 1, 2024 at 10:01 PM
Explore how hypergyroplanes and pseudo-gyrodistances revolutionize multinomial logistic regression in structure spaces, adapting it to the Riemannian manifold #deepneuralnetworks
Learn how hypergyroplanes and pseudo-gyrodistance redefine fully connected and convolutional layers for SPD neural networks #deepneuralnetworks
Reformulating Neural Layers on SPD Manifolds
hackernoon.com
December 1, 2024 at 10:01 PM
Learn how hypergyroplanes and pseudo-gyrodistance redefine fully connected and convolutional layers for SPD neural networks #deepneuralnetworks
Explore the foundational layers and gyrovector space-inspired advancements in neural networks on SPD and Grassmann manifolds #deepneuralnetworks
Researchers Unlock Advanced Building Blocks for Neural Networks on Matrix Manifolds
hackernoon.com
December 1, 2024 at 10:01 PM
Explore the foundational layers and gyrovector space-inspired advancements in neural networks on SPD and Grassmann manifolds #deepneuralnetworks
Discover how advanced gyrovector space theories are driving innovations in deep neural networks on SPD and Grassmann manifolds. #deepneuralnetworks
Matrix Manifold Neural Networks
hackernoon.com
December 1, 2024 at 10:01 PM
Discover how advanced gyrovector space theories are driving innovations in deep neural networks on SPD and Grassmann manifolds. #deepneuralnetworks
weightwatcher.ai
#LLMs #LargeLanguageModels #AI #DNN
#NeuralNetworks #FineTuning #InstructionFineTuning
#DeepLearning #DeepNeuralNetworks
#LLMs #LargeLanguageModels #AI #DNN
#NeuralNetworks #FineTuning #InstructionFineTuning
#DeepLearning #DeepNeuralNetworks
November 23, 2024 at 5:57 PM