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.” http://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.” http://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
Top 20 Python AI and Machine Learning Open Source Projects
https://www.dataquest.io/blog/top-20-python-ai-and-machine-learning-open-source-projects/ @ArtificialIntelligenceArticles
https://www.dataquest.io/blog/top-20-python-ai-and-machine-learning-open-source-projects/ @ArtificialIntelligenceArticles
Developing brain atlas using deep learning algorithms http://goo.gl/TzkQbi paper1:https://arxiv.org/abs/1807.03440 paper2:https://arxiv.org/abs/1807.03238
❄️ده تا از بهترین پروژه های Open Source یادگیری ماشین در ماه گذشته
Machine Learning Open Source of the Month (v.July 2018)
http://goo.gl/XnJGZV @ArtificialIntelligenceArticles
Machine Learning Open Source of the Month (v.July 2018)
http://goo.gl/XnJGZV @ArtificialIntelligenceArticles
Sohan Choudhury : I recently completed Coursera's Deep Learning Specialization, and wrote a review which was recognized by Andrew Ng himself http://goo.gl/ThAo5X @ArtificialIntelligenceArticles
Discoveries that make deep learning easier to use and didn't require more computational power
By Rachel Thomas : http://www.fast.ai/2018/07/23/auto-ml-3/ @ArtificialIntelligenceArticles
By Rachel Thomas : http://www.fast.ai/2018/07/23/auto-ml-3/ @ArtificialIntelligenceArticles
Writing the logic for a blackjack playing program
Yesterday's Kaggle micro-challenge asked to write the logic for a blackjack player. Kevin Mader created a training set of random games and training a decision tree to make the best moves!
http://goo.gl/eUCccZ
@ArtificialIntelligenceArticles
Yesterday's Kaggle micro-challenge asked to write the logic for a blackjack player. Kevin Mader created a training set of random games and training a decision tree to make the best moves!
http://goo.gl/eUCccZ
@ArtificialIntelligenceArticles
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Neural Kinematic Networks for Unsupervised Motion Retargetting #CVPR2018
paper: https://arxiv.org/abs/1804.05653 Code : http://goo.gl/4TdpoA
paper: https://arxiv.org/abs/1804.05653 Code : http://goo.gl/4TdpoA
Iris scanner artificial intelligence can tell the difference between the living and the dead
paper: https://arxiv.org/abs/1807.04058
news: http://goo.gl/swp1RC @ArtificialIntelligenceArticles
paper: https://arxiv.org/abs/1807.04058
news: http://goo.gl/swp1RC @ArtificialIntelligenceArticles
Edge TPU Devices
The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices.
Coming this fall http://goo.gl/QQRgLF
The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices.
Coming this fall http://goo.gl/QQRgLF
Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry #database
Ledig et al http://goo.gl/QifkgN
#alzheimersdisease #medicalimagi
Ledig et al http://goo.gl/QifkgN
#alzheimersdisease #medicalimagi
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
https://arxiv.org/abs/1807.07356
https://arxiv.org/abs/1807.07356