https://github.com/pytorch/pytorch
GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch
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https://distill.pub/2021/gnn-intro/
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
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https://github.com/tensorflow/gnn
GitHub - tensorflow/gnn: TensorFlow GNN is a library to build Graph Neural Networks on the...
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. - tensorflow/gnn
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Reimagining Platform Engagement with Graph Neural Networks - InfoQ
Apr 13, 2026 - Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs...
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https://www.codecademy.com/learn/paths/engineer-neural-networks-with-py-torch-and-transformers
Engineer Neural Networks with PyTorch and Transformers | Codecademy
Learn to build production-ready neural networks with PyTorch, including finetuning transformers, in this hands-on path.
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https://unctad.org/publication/economic-nowcasting-long-short-term-memory-artificial-neural-networks-lstm
Economic Nowcasting with Long Short-term Memory Artificial Neural Networks (LSTM) | UN Trade and...
Artificial neural networks (ANNs) have been the catalyst to numerous advances in a variety of fields and disciplines in recent years. Their impact on...
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https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2019.00432/full
Frontiers | A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks
Apr 26, 2026 - Developing technologies for coupling neural activity and artificial neural components, is key for advancing neural interfaces and neuroprosthetics. We presen...
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https://towardsdatascience.com/implementing-convolutional-neural-networks-in-tensorflow-bc1c4f00bd34/
Implementing Convolutional Neural Networks in TensorFlow | Towards Data Science
Jan 8, 2025 - Step-by-step code guide to building a Convolutional Neural Network
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How Neural Networks Learn to Understand Human Anatomy | Undress Guru Blog | Undress Guru
Mar 11, 2026 - A deep dive into how AI models are trained to understand body segmentation, anatomical structures, and human form recognition.
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Using Neural Networks for Geometric Representation - AMD GPUOpen
Explore how Neural Intersection Functions (NIF) and the enhanced LSNIF are poised to reshape ray tracing by replacing traditional BVH traversal with efficient,...
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https://arxiv.org/abs/2011.12485
[2011.12485] How to Train Neural Networks for Flare Removal
Abstract page for arXiv paper 2011.12485: How to Train Neural Networks for Flare Removal
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Self-Healing Neural Networks in PyTorch: Fix Model Drift in Real Time Without Retraining | Towards...
What happens when your production model drifts and retraining isn’t an option? This article shows how a self-healing neural network detects drift, adapts in...
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https://link.springer.com/article/10.1007/s11023-026-09770-3?error=cookies_not_supported&code=9c007c50-a214-4f08-9ec8-b00cf72c36bb
Do Different Artificial Neural Networks Think Alike? On the Feasibility of Cataloging...
Mar 7, 2026 - Do different artificial neural networks (ANNs) “think” alike? And can their shared internal representations be cataloged? This paper explores t
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ISO - The basis of neural networks: Cracking the code
A subcategory of artificial intelligence, neural networks are AI models with vast potential. From powering search engines and voice recognition on our...
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Neural Networks from Scratch - an interactive guide
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The Roots of Neural Networks: How Caltech Research Paved the Way to Modern AI — Caltech Magazine
Feb 2, 2026 - Tracing the roots of neural networks, the building blocks of modern AI, at Caltech. By Whitney Clavin
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The Brave browser is a fast, private and secure web browser for PC, Mac and mobile. Download now to enjoy a faster ad-free browsing experience that saves data...
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https://towardsdatascience.com/how-convolutional-neural-networks-learn-musical-similarity/
How Convolutional Neural Networks Learn Musical Similarity | Towards Data Science
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https://hackernoon.com/mission-generation-using-classic-machine-learning-and-recurrent-neural-networks-in-zombie-state
Mission Generation Using Classic Machine Learning and Recurrent Neural Networks in Zombie State |...
We’ll walk through the big picture of generating missions using classic machine learning and recurrent neural networks for roguelike games.
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https://www.nature.com/articles/s42256-022-00556-7?error=cookies_not_supported&code=d877b009-89d0-46ea-94e0-198669343a83
Closed-form continuous-time neural networks | Nature Machine Intelligence
Nov 29, 2022 - Continuous-time neural networks are a class of machine learning systems that can tackle representation learning on spatiotemporal decision-making tasks. These...
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https://www.udacity.com/course/constructing-and-training-neural-networks--cd1818
Deep Learning: Construct and Train Neural Networks | Course | Udacity
Learn deep learning fundamentals. Build and train neural networks with PyTorch and apply them to real-world problems.
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What are deep neural networks? | Brave
Jun 27, 2024 - Deep learning is a subset of machine learning (ML). It’s a multi-layered (or “deep”) architecture for artificial intelligence (AI) models.
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AI’s Next Frontier: Privacy-Preserving Neural Networks | Brave
Jimmy Secretan, CTO of JustWin, explores the latest innovations in privacy-preserving neural networks, and explains how JustWin is leveraging AI to help small...
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Free Football Predictions Generated by Neural Networks
Free football predictions, predicted by computer software. Free Betting Tips, Odds and Statistics.
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https://unctad.org/publication/performance-long-short-term-memory-artificial-neural-networks-nowcasting-during-covid
Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19...
The COVID-19 pandemic has demonstrated the increasing need of policymakers for timely estimates of macroeconomic variables.
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https://www.codecademy.com/learn/intro-to-py-torch-and-neural-networks
Intro to PyTorch and Neural Networks | Codecademy
Learn how to use PyTorch to build, train, and test artificial neural networks in this course.
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https://arxiv.org/abs/1510.06356
[1510.06356] Application of Quantum Annealing to Training of Deep Neural Networks
Abstract page for arXiv paper 1510.06356: Application of Quantum Annealing to Training of Deep Neural Networks
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https://www.intechopen.com:443/books/117
Artificial Neural Networks - Methodological Advances and Biomedical Applications | IntechOpen
Artificial Neural Networks - Methodological Advances and Biomedical Applications. Edited by: Kenji Suzuki. ISBN 978-953-307-243-2, PDF ISBN 978-953-51-4498-4,...
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https://arxiv.org/abs/2506.21537
[2506.21537] ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom...
Abstract page for arXiv paper 2506.21537: ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
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https://arxiv.org/list/cond-mat.dis-nn/recent
Disordered Systems and Neural Networks
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Paper page - EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Join the discussion on this paper page
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https://arxiv.org/html/2604.19738v2
Phase Transitions in the Fluctuations of Functionals of Random Neural Networks
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https://www.semanticscholar.org/reader/41f1d50c85d3180476c4c7b3eea121278b0d8474
[PDF] Pixel Recurrent Neural Networks | Semantic Scholar
An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease.
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https://blog.tensorflow.org/2024/02/graph-neural-networks-in-tensorflow.html
Graph neural networks in TensorFlow — The TensorFlow Blog
Announcing the release of TensorFlow GNN 1.0, a production-tested library for building GNNs at Google scale, supporting both modeling and training.
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https://www.livescience.com/technology/computing/thermodynamic-computer-can-mimic-ai-neural-networks-using-orders-of-magnitude-less-energy-to-generate-images
'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to...
Feb 21, 2026 - Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
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ProSoccer | Free Predictions Generated by Neural Networks
Free football predictions web site. ProSoccer.GR gives free tips since 2002.
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Quiz about Introduction to Deep Learning and Neural Networks
Introduction to Deep Learning and Neural Networks Quiz will help you to test and validate your Data Science knowledge. It covers a variety of questions, from...
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https://cs.stanford.edu/people/karpathy/deepvideo/
Large-scale Video Classification with Convolutional Neural Networks (CVPR 2014)
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https://research.google/blog/inceptionism-going-deeper-into-neural-networks/
Inceptionism: Going Deeper into Neural Networks
Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software EngineerUpdate - 13/07/20...
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https://www.wolfram.com/language/core-areas/machine-learning/
Wolfram Machine Learning and Neural Networks
Comprehensive tools for classical machine learning or state-of-the-art neural networks on any data type. Perform classification, regression, cluster analysis,...
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https://towardsdatascience.com/hybrid-neuro-symbolic-fraud-detection-guiding-neural-networks-with-domain-rules/
Hybrid Neuro-Symbolic Fraud Detection: Guiding Neural Networks with Domain Rules | Towards Data...
Mar 11, 2026 - I really thought I was onto something big: add a couple of simple domain rules to the loss function, and watch fraud detection just skyrocket on...
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https://bigthink.com/my-classes/breaking-through-learning-obstacles/breaking-through-learning-obstacles/
Activate Your Neural Networks - Big Think
Understanding the two modes of information processing—Focus Mode for specific tasks and Diffuse Mode for broader thinking—is crucial for effective...
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https://www.theregister.com/Tag/Neural%20Networks/
Neural Networks • Page 1 • Tag • The Register
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https://arxiv.org/abs/2604.19738
[2604.19738] Phase Transitions in the Fluctuations of Functionals of Random Neural Networks
Abstract page for arXiv paper 2604.19738: Phase Transitions in the Fluctuations of Functionals of Random Neural Networks
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https://distill.pub/2020/circuits/equivariance/
Naturally Occurring Equivariance in Neural Networks
Neural networks naturally learn many transformed copies of the same feature, connected by symmetric weights.
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https://www.manning.com/livevideo/3blue1brown-neural-networks
3Blue1Brown: Neural Networks - Grant Sanderson
Mathematician Grant Sanderson—better known on YouTube as 3blue1brown—simplifies the complex topic of deep learning through his unique visuals-first approach....
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https://experiments.withgoogle.com/what-neural-nets-see
What Neural Networks See by Gene Kogan - Experiments with Google
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with...
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https://chainer.org/
Chainer: A flexible framework for neural networks
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https://openjdk.org/projects/babylon/articles/triton
Exploring Triton GPU programming for neural networks in Java
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https://www.intechopen.com:443/books/1004688
Artificial Neural Networks and Their Applications | IntechOpen
Artificial Neural Networks and Their Applications. Edited by: Abdelhamid Mellouk. ISBN 978-0-85014-715-5, eISBN 978-0-85014-714-8, PDF ISBN 978-0-85014-716-2,...
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https://docs.chainer.org/en/stable/
Chainer – A flexible framework of neural networks — Chainer 7.8.1 documentation
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https://www.wolfram.com/wolfram-u/boot-camp-neural-networks/
Wolfram Neural Networks Boot Camp 2026
Learn what neural networks are, how to use pre-trained networks and how to build and train your own models. Get certified to apply AI and deep learning to...
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https://research.google/blog/graph-neural-networks-in-tensorflow/
Graph neural networks in TensorFlow
Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubi...
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https://proceedings.mlr.press/v202/xu23w.html
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Do Not Train It: A Linear Neural Architecture Search of Graph Neural NetworksPeng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, ...
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