50 تا از بهترین دیتاست برای یادگیری ماشین
The 50 Best Free Datasets for Machine Learning
https://gengo.ai/articles/the-50-best-free-datasets-for-machine-learning/ @ArtificialIntelligenceArticles
The 50 Best Free Datasets for Machine Learning
https://gengo.ai/articles/the-50-best-free-datasets-for-machine-learning/ @ArtificialIntelligenceArticles
Cool, creative and aesthetic: deep learning #AI to advance neuroscience by automating the reconstruction of neural circuits from microscopy images https://goo.gl/seMMLA
ArtificialIntelligenceArticles
Cool, creative and aesthetic: deep learning #AI to advance neuroscience by automating the reconstruction of neural circuits from microscopy images https://goo.gl/seMMLA
Artificial neural networks now able to help reveal a brain's structure
This new development in Artificial Intelligence technology could save brain researchers years of data analysis time, thanks to Google.
https://medicalxpress.com/news/2018-07-artificial-neural-networks-reveal-brain.html
https://t.iss.one/ArtificialIntelligenceArticles
This new development in Artificial Intelligence technology could save brain researchers years of data analysis time, thanks to Google.
https://medicalxpress.com/news/2018-07-artificial-neural-networks-reveal-brain.html
https://t.iss.one/ArtificialIntelligenceArticles
Medicalxpress
Artificial neural networks now able to help reveal a brain's structure
The function of the brain is based on the connections between nerve cells. In order to map these connections and to create the connectome, the "wiring diagram" of a brain, neurobiologists capture images ...
Tutorial on few-shot learning with meta-learning by Hugo Larochelle
Slides :
https://www.dropbox.com/s/sm68skkkbxbob0i/metalearning.pdf @ArtificialIntelligenceArticles
Slides :
https://www.dropbox.com/s/sm68skkkbxbob0i/metalearning.pdf @ArtificialIntelligenceArticles
Bloomberg launches “ Foundations of #MachineLearning ” course for those with strong math backgrounds https://goo.gl/Ln1cd5 @ArtificialIntelligenceArticles
AutoGraph converts Python into TensorFlow graphs from arbitrary Python
Another step towards AI eating the software stack.
By Alex Wiltschko, Dan Moldovan, Wolff Dobson
https://medium.com/tensorflow/autograph-converts-python-into-tensorflow-graphs-b2a871f87ec7
@ArtificialIntelligenceArticles
Another step towards AI eating the software stack.
By Alex Wiltschko, Dan Moldovan, Wolff Dobson
https://medium.com/tensorflow/autograph-converts-python-into-tensorflow-graphs-b2a871f87ec7
@ArtificialIntelligenceArticles
Medium
AutoGraph converts Python into TensorFlow graphs
By Alex Wiltschko, Dan Moldovan, Wolff Dobson
TensorFlow.js gallery of projects, tutorials, videos, and more! https://goo.gl/tVagyW @ArtificialIntelligenceArticles
Cirq : an open source framework for developing algorithms on noisy intermediate scale quantum (NISQ) computers.
Check out the GitHub repository : https://goo.gl/otb99A @ArtificialIntelligenceArticle
Check out the GitHub repository : https://goo.gl/otb99A @ArtificialIntelligenceArticle
An open-source medical image analysis and image-guided therapy framework, built on TensorFlow. With established pre-trained networks.
NiftyNet: a deep-learning platform for medical imaging
paper: https://arxiv.org/abs/1709.03485
project: https://www.niftynet.io/
Code: https://github.com/NifTK/NiftyNet
@ArtificialIntelligenceArticle
NiftyNet: a deep-learning platform for medical imaging
paper: https://arxiv.org/abs/1709.03485
project: https://www.niftynet.io/
Code: https://github.com/NifTK/NiftyNet
@ArtificialIntelligenceArticle
arXiv.org
NiftyNet: a deep-learning platform for medical imaging
Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not...
https://medium.com/tensorflow/move-mirror-an-ai-experiment-with-pose-estimation-in-the-browser-using-tensorflow-js-2f7b769f9b23
www.engadget.com/2018/07/19/google-ai-compares-poses-80-000-images/
@ArtificialIntelligenceArticle
www.engadget.com/2018/07/19/google-ai-compares-poses-80-000-images/
@ArtificialIntelligenceArticle
Medium
Move Mirror: An AI Experiment with Pose Estimation in the Browser using TensorFlow.js
By Jane Friedhoff and Irene Alvarado, Creative Technologists, Google Creative Lab
Normalizing Flow bending the space.
Eric Jang's notebook:https://github.com/ericjang/normalizing-flows-tutorial/blob/master/nf_part2_modern.ipynb
Blog Part 1 : https://blog.evjang.com/2018/01/nf1.html
Blog Part 2 : https://blog.evjang.com/2018/01/nf2.html
#machinelearning #normalization
@ArtificialIntelligenceArticle
Eric Jang's notebook:https://github.com/ericjang/normalizing-flows-tutorial/blob/master/nf_part2_modern.ipynb
Blog Part 1 : https://blog.evjang.com/2018/01/nf1.html
Blog Part 2 : https://blog.evjang.com/2018/01/nf2.html
#machinelearning #normalization
@ArtificialIntelligenceArticle
GitHub
ericjang/normalizing-flows-tutorial
Tutorial on normalizing flows. Contribute to ericjang/normalizing-flows-tutorial development by creating an account on GitHub.
Evolutionary algorithm outperforms deep-learning machines at video games
Neural networks have garnered all the headlines, but a much more powerful approach is waiting in the wings.
paper : arxiv.org/abs/1806.05695
https://www.technologyreview.com/s/611568/evolutionary-algorithm-outperforms-deep-learning-machines-at-video-games/
@ArtificialIntelligenceArticles
Neural networks have garnered all the headlines, but a much more powerful approach is waiting in the wings.
paper : arxiv.org/abs/1806.05695
https://www.technologyreview.com/s/611568/evolutionary-algorithm-outperforms-deep-learning-machines-at-video-games/
@ArtificialIntelligenceArticles
MIT Technology Review
Evolutionary algorithm outperforms deep-learning machines at video games
With all the excitement over neural networks and deep-learning techniques, it’s easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to outperform humans in tasks such as object and face recognition…
Nice review on Machine Learning approaches for data integration in biology and medicine paper : https://arxiv.org/abs/1807.00123 @ArtificialIntelligenceArticles
A debate between Prof Yann LeCun and Prof Christopher Manning on how much prior knowledge about the architectures should be built into the deep learning systems.
Article with referenced
Debate video:
https://www.youtube.com/watch?v=fKk9KhGRBdI
papers:
https://www.abigailsee.com/2018/02/21/deep-learning-structure-and-innate-priors.html
https://t.iss.one/ArtificialIntelligenceArticles
Article with referenced
Debate video:
https://www.youtube.com/watch?v=fKk9KhGRBdI
papers:
https://www.abigailsee.com/2018/02/21/deep-learning-structure-and-innate-priors.html
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Yann LeCun and Christopher Manning discuss Deep Learning and Innate Priors
Read a summary of the discussion here: https://www.abigailsee.com/2018/02/21/deep-learning-structure-and-innate-priors.html
A discussion between Yann LeCun and Christopher Manning on February 2 2018, at Stanford University. Discussion topic: "What innate…
A discussion between Yann LeCun and Christopher Manning on February 2 2018, at Stanford University. Discussion topic: "What innate…
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Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions https://goo.gl/KQAFqT @ArtificialIntelligenceArticles
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
paper : https://arxiv.org/abs/1807.06906 @ArtificialIntelligenceArticles
paper : https://arxiv.org/abs/1807.06906 @ArtificialIntelligenceArticles
Researchers move closer to completely optical artificial neural network
https://phys.org/news/2018-07-closer-optical-artificial-neural-network.html paper: https://arxiv.org/abs/1805.09943
https://phys.org/news/2018-07-closer-optical-artificial-neural-network.html paper: https://arxiv.org/abs/1805.09943
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.” https://nlpprogress.com/
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.” https://nlpprogress.com/