AI book to lead company by andrew ng
https://d6hi0znd7umn4.cloudfront.net/content/uploads/2018/12/AI-Transformation-Playbook.pdf @ArtificialIntelligenceArticles
https://d6hi0znd7umn4.cloudfront.net/content/uploads/2018/12/AI-Transformation-Playbook.pdf @ArtificialIntelligenceArticles
TensorSpace is a neural network 3D visualization framework
Built on TensorFlow.js, Three.js and Tween.js: https://tensorspace.org/
#NeuralNetworks #ArtificialInteligence #DeepLearning #MachineLearning #Visualization #Technology
Built on TensorFlow.js, Three.js and Tween.js: https://tensorspace.org/
#NeuralNetworks #ArtificialInteligence #DeepLearning #MachineLearning #Visualization #Technology
Style-Based Generator Architecture for Generative Adversarial Networks" video shows generating realistic looking faces, cats, cars, rooms, etc. from a GAN.
The video is great: https://www.youtube.com/watch?&v=kSLJriaOumA
Paper: https://arxiv.org/abs/1812.04948
The video is great: https://www.youtube.com/watch?&v=kSLJriaOumA
Paper: https://arxiv.org/abs/1812.04948
Top 20 Artificial Intelligence Articles in 2018 https://www.marktechpost.com/2018/12/29/top-20-artificial-intelligence-articles-in-2018/ @ArtificialIntelligenceArticles
Learn Machine Learning from Top 50 Articles for the Past Year (v.2019)
https://medium.mybridge.co/learn-machine-learning-from-top-50-articles-for-the-past-year-v-2019-15842d0b82f6
https://medium.mybridge.co/learn-machine-learning-from-top-50-articles-for-the-past-year-v-2019-15842d0b82f6
Training Deep Capsule Networks
by David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez
https://arxiv.org/abs/1812.09707 @ArtificialIntelligenceArticles
by David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez
https://arxiv.org/abs/1812.09707 @ArtificialIntelligenceArticles
Deep Learning on Graphs: A Survey
Nice review of graph nets
https://arxiv.org/abs/1812.04202
#ArtificialIntelligence #MachineLearning #DataScience
Nice review of graph nets
https://arxiv.org/abs/1812.04202
#ArtificialIntelligence #MachineLearning #DataScience
arXiv.org
Deep Learning on Graphs: A Survey
Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data...
The statistical mechanics of Twitter
Paper : https://arxiv.org/abs/1812.07029
#Physics #Society #StatisticPhysics
Paper : https://arxiv.org/abs/1812.07029
#Physics #Society #StatisticPhysics
paper from Andrew Y. Ng : Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Y. Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia & Andrew Y. Ng
https://www.nature.com/articles/s41591-018-0268-3
https://t.iss.one/ArtificialIntelligenceArticles
Awni Y. Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia & Andrew Y. Ng
https://www.nature.com/articles/s41591-018-0268-3
https://t.iss.one/ArtificialIntelligenceArticles
Nature
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Nature Medicine - Analysis of electrocardiograms using an end-to-end deep learning approach can detect and classify cardiac arrhythmia with high accuracy, similar to that of cardiologists.
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Paper by Lindsey et al.: https://arxiv.org/abs/1901.00945
#Neurons #Cognition #MachineLearning #EvolutionaryComputing
Paper by Lindsey et al.: https://arxiv.org/abs/1901.00945
#Neurons #Cognition #MachineLearning #EvolutionaryComputing
Neural Ordinary Differential Equations
https://blog.acolyer.org/2019/01/09/neural-ordinary-differential-equations/
#artificialintelligence #deeplearning #machinelearning
https://blog.acolyer.org/2019/01/09/neural-ordinary-differential-equations/
#artificialintelligence #deeplearning #machinelearning
First lecture on Deep Learning Basics is up on YouTube (see link). It's an introductory lecture overviewing the basics of deep learning.
https://www.youtube.com/watch?v=O5xeyoRL95U
Slides for this lecture:
https://www.dropbox.com/s/c0g3sc1shi63x3q/deep_learning_basics.pdf
Website: https://deeplearning.mit.edu/
GitHub repo with tutorials: https://github.com/lexfridman/mit-deep-learning
For those around MIT, the course is open to all. It runs every day in January at 3pm
https://towardsdatascience.com/the-abcs-of-machine-learning-experts-who-are-driving-the-world-in-ai-2995a8115bea
https://www.youtube.com/watch?v=O5xeyoRL95U
Slides for this lecture:
https://www.dropbox.com/s/c0g3sc1shi63x3q/deep_learning_basics.pdf
Website: https://deeplearning.mit.edu/
GitHub repo with tutorials: https://github.com/lexfridman/mit-deep-learning
For those around MIT, the course is open to all. It runs every day in January at 3pm
https://towardsdatascience.com/the-abcs-of-machine-learning-experts-who-are-driving-the-world-in-ai-2995a8115bea
YouTube
Deep Learning Basics: Introduction and Overview
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep…
Graph Wavelet Neural Network (ICLR 2019) -- Pytorch implementation
Paper: https://openreview.net/forum?id=H1ewdiR5tQ
PyTorch: https://github.com/benedekrozemberczki/GraphWaveletNeuralNetwork
Paper: https://openreview.net/forum?id=H1ewdiR5tQ
PyTorch: https://github.com/benedekrozemberczki/GraphWaveletNeuralNetwork
News Feature: What are the limits of deep learning?
https://www.pnas.org/content/116/4/1074
#artificialintelligence #deeplearning #machinelearning
https://www.pnas.org/content/116/4/1074
#artificialintelligence #deeplearning #machinelearning
Natural Questions: a New Corpus and Challenge for Question Answering Research
https://ai.googleblog.com/2019/01/natural-questions-new-corpus-and.html
https://t.iss.one/ArtificialIntelligenceArticles
https://ai.googleblog.com/2019/01/natural-questions-new-corpus-and.html
https://t.iss.one/ArtificialIntelligenceArticles
blog.research.google
Natural Questions: a New Corpus and Challenge for Question Answering Research
Where is AI heading next? Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end.
https://www.technologyreview.com/s/612768/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed-next/
https://www.technologyreview.com/s/612768/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed-next/
Deep Face Recognition: A Survey
https://arxiv.org/abs/1804.06655
https://t.iss.one/ArtificialIntelligenceArticles
https://arxiv.org/abs/1804.06655
https://t.iss.one/ArtificialIntelligenceArticles
arXiv.org
Deep Face Recognition: A Survey
Deep learning applies multiple processing layers to learn representations of data with multiple levels of feature extraction. This emerging technique has reshaped the research landscape of face...