Non-NLP application of Word2Vec
https://medium.com/towards-data-science/a-non-nlp-application-of-word2vec-c637e35d3668
#nlp #w2v @word2vec
https://medium.com/towards-data-science/a-non-nlp-application-of-word2vec-c637e35d3668
#nlp #w2v @word2vec
Medium
A non-NLP application of Word2Vec
When using Machine Learning to solve a problem, having the right data is crucial. Unfortunately, raw data is often “unclean” and…
Research group at MIT discovered new way of tracking sleep phase. WiFi can interfere, but they used deep learning to clear the signal and to achieve 80% accuracy in sleep stage prediction, compapable with a lab equipment.
http://news.mit.edu/2017/new-ai-algorithm-monitors-sleep-radio-waves-0807
#timeseries #eeg #deep_learning #mit #sleep
http://news.mit.edu/2017/new-ai-algorithm-monitors-sleep-radio-waves-0807
#timeseries #eeg #deep_learning #mit #sleep
MIT News
New AI algorithm monitors sleep with radio waves
Researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep without any kind of sensors attached to the body. Their sensor uses low-power radio waves that detect small changes in body movement caused by the patient’s breathing…
Andrew Ng has announced new Deep Learning course on Coursera:
“deeplearning.ai: Announcing new Deep Learning courses on Coursera” https://medium.com/@andrewng/deeplearning-ai-announcing-new-deep-learning-courses-on-coursera-43af0a368116
#coursera #deep_learning earning #dl #andrewng
“deeplearning.ai: Announcing new Deep Learning courses on Coursera” https://medium.com/@andrewng/deeplearning-ai-announcing-new-deep-learning-courses-on-coursera-43af0a368116
#coursera #deep_learning earning #dl #andrewng
Medium
deeplearning.ai: Announcing new Deep Learning courses on Coursera
Dear Friends,
DeepMind is pushing the boundaries to build better game AI. Python bindings are available.
https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/
#rl #deepmind #blizzard #python
https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/
#rl #deepmind #blizzard #python
Nice place to start with text mining with neural networks.
http://ruder.io/deep-learning-nlp-best-practices/
#nlp #dl #where2start
http://ruder.io/deep-learning-nlp-best-practices/
#nlp #dl #where2start
ruder.io
Deep Learning for NLP Best Practices
Neural networks are widely used in NLP, but many details such as task or domain-specific considerations are left to the practitioner. This post collects best practices that are relevant for most tasks in NLP.
Google purchased scene segmentation technology.
https://techcrunch.com/2017/08/16/google-acquires-aimatter-maker-of-the-fabby-computer-vision-app/
#dl #segmentation #cv #google
https://techcrunch.com/2017/08/16/google-acquires-aimatter-maker-of-the-fabby-computer-vision-app/
#dl #segmentation #cv #google
TechCrunch
Google acquires AIMatter, maker of the Fabby computer vision app
Computer vision -- the branch of artificial intelligence that lets computers "see" and process images like humans do (and, actually, often better than
Deep Bilateral Learning for Real-Time Image Enhancement
Video about image auto-enhancing with neural networks.
https://www.youtube.com/watch?v=GAe0qKKQY_I
#cv #dl #autoenhance #mit #youtube #video
Video about image auto-enhancing with neural networks.
https://www.youtube.com/watch?v=GAe0qKKQY_I
#cv #dl #autoenhance #mit #youtube #video
YouTube
Deep Bilateral Learning for Real-Time Image Enhancement
Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new neural network…
STMVis - Visual Analysis for Recurrent Neural Networks
LSTMVis a visual analysis tool for recurrent neural networks with a focus on understanding these hidden state dynamics. The tool allows a user to select a hypothesis input range to focus on local state changes, to match these states changes to similar patterns in a large data set, and to align these results with structural annotations from their domain. We provide data for the tool to analyze specific hidden state properties on dataset containing nesting, phrase structure, and chord progressions, and demonstrate how the tool can be used to isolate patterns for further statistical analysis.
http://lstm.seas.harvard.edu/
#harvard #video #dl #rnn
LSTMVis a visual analysis tool for recurrent neural networks with a focus on understanding these hidden state dynamics. The tool allows a user to select a hypothesis input range to focus on local state changes, to match these states changes to similar patterns in a large data set, and to align these results with structural annotations from their domain. We provide data for the tool to analyze specific hidden state properties on dataset containing nesting, phrase structure, and chord progressions, and demonstrate how the tool can be used to isolate patterns for further statistical analysis.
http://lstm.seas.harvard.edu/
#harvard #video #dl #rnn
lstm.seas.harvard.edu
LSTMVis
A visual analysis tool for recurrent neural networks
Tutorial on Building a Facial Recognition Pipeline with Deep Learning in Tensorflow
https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8
#facerecognition #dl #tensorflow #cv #tutorial
https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8
#facerecognition #dl #tensorflow #cv #tutorial
Hackernoon
Building a Facial Recognition Pipeline with Deep Learning in Tensorflow
In my <a href="https://hackernoon.com/deep-learning-cnns-in-tensorflow-with-gpus-cba6efe0acc2" target="_blank">last tutorial</a> , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional…
Tutorial on how to launch Jupyter Notebook in Google GPU cloud.
https://hackernoon.com/launch-a-gpu-backed-google-compute-engine-instance-and-setup-tensorflow-keras-and-jupyter-902369ed5272
#tutorial #jupyter #google
https://hackernoon.com/launch-a-gpu-backed-google-compute-engine-instance-and-setup-tensorflow-keras-and-jupyter-902369ed5272
#tutorial #jupyter #google
Hackernoon
Launch a GPU-backed Google Compute Engine instance and setup Tensorflow, Keras and Jupyter | HackerNoon
2900 members, hoooray!
Thank you all for sharing posts, for suggesting content throught @opendatasciencebot. Hope that our channel is useful for you and your research / study / work.
Thank you all for sharing posts, for suggesting content throught @opendatasciencebot. Hope that our channel is useful for you and your research / study / work.
Beautiful thematic maps with ggplot2
https://timogrossenbacher.ch/2016/12/beautiful-thematic-maps-with-ggplot2-only/
#viz #ggplot #maps
https://timogrossenbacher.ch/2016/12/beautiful-thematic-maps-with-ggplot2-only/
#viz #ggplot #maps
timogrossenbacher.ch
Beautiful thematic maps with ggplot2 (only)
Step-by-step-tutorial on how to use Rstats to produce highly aesthetic choropleths with a custom legend and a beautiful raster relief as background.
Neural net for removing copyright marks.
https://www.theverge.com/2017/8/18/16162108/google-research-algorithm-watermark-removal-photo-protection
#cv #dl #google
https://www.theverge.com/2017/8/18/16162108/google-research-algorithm-watermark-removal-photo-protection
#cv #dl #google
The Verge
Google shows how easy it is for software to remove watermarks from photos
Google’s research division today detailed just how easy it is for computer algorithms to bypass standard photo watermarking practices, stripping those images of copyright protection and making them...
Architecture for real-time scene annotation (BlitzNet)
http://thoth.inrialpes.fr/research/blitznet/
ArxiV: https://arxiv.org/abs/1708.02813
GitHub: https://github.com/dvornikita/blitznet
#ICCV #github #dl #video
http://thoth.inrialpes.fr/research/blitznet/
ArxiV: https://arxiv.org/abs/1708.02813
GitHub: https://github.com/dvornikita/blitznet
#ICCV #github #dl #video
GitHub
GitHub - dvornikita/blitznet: Deep neural network for object detection and semantic segmentation in real-time. Official code for…
Deep neural network for object detection and semantic segmentation in real-time. Official code for the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding" - dvornik...
Comparison of 13 classic ML algorithms on 165 datasets.
https://arxiv.org/pdf/1708.05070.pdf
#meta #arxiv #ml
https://arxiv.org/pdf/1708.05070.pdf
#meta #arxiv #ml
Another breakthrough with generative models.
BEGAN: Boundary Equilibrium Generative Adversarial Networks
https://arxiv.org/abs/1703.10717
#gan #cv
BEGAN: Boundary Equilibrium Generative Adversarial Networks
https://arxiv.org/abs/1703.10717
#gan #cv