A Neural Network Based On-device Learning Anomaly Detector for Edge Devices. arxiv.org/abs/1907.10147

Uniform convergence may be unable to explain generalization in deep learning

Vaishnavh Nagarajan and J. Zico Kolter : https://arxiv.org/abs/1902.04742

Code : https://locuslab.github.io/2019-07-09-uniform-convergence/

#deeplearning #machinelearning #neuralnetworks

A Fine-Grained Spectral Perspective on Neural Networks
Greg Yang and Hadi Salman : https://arxiv.org/abs/1907.10599
Compute eigenvalues : https://github.com/thegregyang/NNspectra
#MachineLearning #NeuralComputing #EvolutionaryComputing

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP

Yu et al.: https://arxiv.org/abs/1906.02768

#nlp #neuralnetwork #reinforcementlearning #neuralnetworks

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Morcos et al.: https://arxiv.org/abs/1906.02773
#ArtificialIntelligence #MachineLearning #NeuralComputing

Machine Learning in Medicine

Alvin Rajkomar, M.D., Jeffrey Dean, Ph.D. and Isaac Kohane, M.D., Ph.D.


Authors describe the core structural changes and paradigm shifts in the health care system that are necessary to enable the full promise of machine learning in medicine



https://www.nejm.org/doi/full/10.1056/NEJMra1814259
#artificialintelligence #medicine #healthcare #doctors #physicians

A comprehensive guide to putting a machine learning model in production using Flask, Docker, and Kubernetes
https://www.mikulskibartosz.name/a-comprehensive-guide-to-putting-a-machine-learning-model-in-production/

In 5.30 mins Eric Topol summarizes beautifully what Deep Medicine is all about: Deep phenotyping, deep learning and deep empathy. Or how Artificial Intelligence can be a powerful tool to improve medicine in the modern world.

Topol on Deep Medicine

https://www.youtube.com/watch?v=h8YdPKQRNDU

Interesting paper: A guide to deep learning in healthcare by Jeff Dean , Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun https://www.nature.com/articles/s41591-018-0316-z https://t.iss.one/ArtificialIntelligenceArticles

Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy |

https://www.nature.com/articles/s41374-019-0202-4

#ai #pathology #medicine

Lifelong GAN: Continual Learning for Conditional Image Generation
Zhai et al.: https://arxiv.org/abs/1907.10107
#deeplearning #generativemodels #GAN

👌✊Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python.

#AI #DeepLearning #TensorFlow https://bit.ly/2M44Ls7

[#Tensorflow][#TensorflowDevSummit]

TensorBoard Hands On!
https://www.youtube.com/watch?v=eBbEDRsCmv4&t=1105s

Tensorflow Architecture
https://www.tensorflow.org/guide/extend/architecture

Tensorflow Dev Summit 2019
https://www.youtube.com/playlist?list=PLQY2H8rRoyvzoUYI26kHmKSJBedn3SQuB

Tensorflow Youtube Channel
https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ/featured

Plenty of resources in the Google Channels. An advice is to learn according to the modelling. Have Fun.

The platform for Machine Learning methods dependencies 3D visualization

The project is available online: https://www.infornopolitan.xyz/backronym

For more information please read the Story: https://medium.com/@asadulaevarip/how-to-generate-ideas-in-machine-learning-bdb9a7267392

Work in progress, but I believe, together we can do it much better!

Support us: https://www.infornopolitan.xyz/support-project

CVPR
The best papers announced:


https://syncedreview.com/2019/06/18/cvpr-2019-attracts-9k-attendees-best-papers-announced-imagenet-honoured-10-years-later/

​​TabNine showed deep learning code autocomplete tool based on GPT-2 architecture.

Video demonstrates the concept. Hopefully, it will allow us to write code with less bugs, not more.

Link: https://tabnine.com/blog/deep
Something relatively similar by Microsoft: https://visualstudio.microsoft.com/ru/services/intellicode

#GPT2 #TabNine #autocomplete #product #NLP #NLU #codegeneration

How to Segment Buildings on Drone Imagery with Fast.ai & Cloud-Native GeoData Tools
Blog by Dave Luo : https://medium.com/@anthropoco/how-to-segment-buildings-on-drone-imagery-with-fast-ai-cloud-native-geodata-tools-ae249612c321
#DeepLearning #Geospatial #Drones #MachineLearning #Tutorial