Understanding Convolutional Neural Networks through Visualizations in PyTorch

Explanation of how #CNN works

Link: https://towardsdatascience.com/understanding-convolutional-neural-networks-through-visualizations-in-pytorch-b5444de08b91

#PyTorch #nn #DL

​​Object detection SOTA evolution over time.

#SOTA #CNN #objectdetection

Deep learning for NLP crash course at ABBYY.

Github repo with scheduled plan for learning #DL #NLP online.

Link: https://github.com/DanAnastasyev/DeepNLP-Course

#educational #tutorial #course #beginner #novice #entrylevel

Mastermind: Using Uber Engineering to Combat Fraud in Real Time

Article on general aspects of how #Uber’s fraud prevention engine works.

Link: https://eng.uber.com/mastermind/

#architecture

News Feature: What are the limits of deep learning?

Nice article summarizing recent progress in deep learning. It can be renamed into «Recent progress in deep learning leaves DL critics searching for new things to criticize».

Link: https://www.pnas.org/content/116/4/1074

#DL #Meta

#DeepMind will show AI playing #Starcraft II.

Starts in 8 hours (6:00 PM GMT)

youtube.com/c/deepmind / https://www.twitch.tv/starcraft

#RL

Upcoming series of #ML lectures from Columbia Universite will be published on youtube.

If you are looking #wheretostart, this is one of the great places.

YouTuve Playlist: https://www.youtube.com/playlist?list=PL_pVmAaAnxIQGzQS2oI3OWEPT-dpmwTfA
Syllabus: https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/

#beginner #novice #entrylevel

Free online ODS.AI course on ML

Another great free course will start on February 11. Taught through #Kaggle notebooks and competitions.

Link: https://www.kaggle.com/general/77771

#entrylevel #novice #beginner

There is another Data Science Breakfast at Paris upcoming on this Saturday at 10:00 AM at Strada Cafe, 24 Rue Monge.

Feel free to join, regardless of your level. Everyone is welcome.

Discovering and Classifying In-app Message Intent at Airbnb

An article on how #AirBnB finds intent in conversations to make its service better.

Link: https://medium.com/airbnb-engineering/discovering-and-classifying-in-app-message-intent-at-airbnb-6a55f5400a0c

#NLP #intent

Natural Questions

Google published Natural Questions, a new, large-scale corpus and challenge for training and evaluating open-domain question answering systems, and the first to replicate the end-to-end process in which people find answers to questions.

Link: https://ai.googleblog.com/2019/01/natural-questions-new-corpus-and.html

#Google #NLP #data

Zero-shot transfer across 93 languages: Facebook publishes enhanced LASER library

Link: https://code.fb.com/ai-research/laser-multilingual-sentence-embeddings/

#Facebook #NLP

Dynamic Transfer Learning for Named Entity Recognition

Paper with direct healthcare application by #Amazon interesting proposal to use Dynamic Transfer Network for architecture search

Link: https://arxiv.org/pdf/1812.05288.pdf

#healthcare #NLP

Use Machine Learning to filter messages in the browser

Article on filtering messages during #Twitch streaming with #tensorflow.

Link: https://dev.to/embiem/use-machine-learning-to-filter-messages-in-the-browser-4i19

#DL #NN #NLP #tensorflowjs

VeGAN release

A small library to easily train various existing #GAN using #PyTorch. Based on provided generator and discriminator, VeGANs trains them with a selected GAN algorithm.

Link: https://github.com/unit8co/vegans

StanfordNLP release.

New Python #NLProc package. StanfordNLP provides native, neural (PyTorch) tokenization, POS tagging and dependency parsing for 53 languages based on UD v2 — and a Python CoreNLP interface.

Pip: pip install stanfordnlp
PyPI: https://pypi.org/project/stanfordnlp/
Link: https://stanfordnlp.github.io/stanfordnlp/

#NLP #Stanford

Typical data scientist/machine learning engineer:
> understands that data science is generally engineering most of programmers can deal with
> do want to be overpaid and thus to keep others away from field
> keeps saying rare useless skill he possesses is definitively necessary for data science

Only truth, whole truth and nothing but the truth.

Towards reconstructing intelligible speech from the human auditory cortex



Columbia neuroengineers have created a system that translates thought into intelligible, recognizable speech. By monitoring someone's brain activity, the technology can reconstruct the words a person hears with unprecedented clarity.

Link: https://www.nature.com/articles/s41598-018-37359-z

#BCI #thought2text

​​#vizualization #statistics

​​StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

Baidu in one of #AAAI19 papers, proposed StNet, a novel framework for both local and global spatial-temporal modeling in videos. StNet outperforms several state-of-the-art approaches in action recognition and balances btw accuracy and model complexity.

ArXiV: https://arxiv.org/pdf/1811.01549.pdf

#SOTA #Baidu