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/
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www.engadget.com/2018/07/19/google-ai-compares-poses-80-000-images/
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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
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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/
ICML IJCAI ECAI 2018 Conference Videos
https://www.youtube.com/channel/UCvqEpkx-HQ2nDMT-ob-AADg/videos
@ArtificialIntelligenceArticles
https://www.youtube.com/channel/UCvqEpkx-HQ2nDMT-ob-AADg/videos
@ArtificialIntelligenceArticles
YouTube
ICML IJCAI ECAI 2018 Conference Videos
Python package by Animesh Karnewar for creating Progressive growing GANs
Code : https://github.com/akanimax/pro_gan_pytorch
Examples : https://github.com/akanimax/pro_gan_pytorch-examples
@ArtificialIntelligenceArticles
Code : https://github.com/akanimax/pro_gan_pytorch
Examples : https://github.com/akanimax/pro_gan_pytorch-examples
@ArtificialIntelligenceArticles
GitHub
GitHub - akanimax/pro_gan_pytorch: Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved…
Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation" - akanimax/pro_gan_pytorch
A survey on policy search algorithms for learning robot controllers in a handful of trials
https://arxiv.org/abs/1807.02303 @ArtificialIntelligenceArticles
https://arxiv.org/abs/1807.02303 @ArtificialIntelligenceArticles
Practical guide to text classification
https://developers.google.com/machine-learning/guides/text-classification/step-2-5
https://developers.google.com/machine-learning/guides/text-classification/step-2-5