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

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

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

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

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

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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

Neural net for removing copyright marks.

https://www.theverge.com/2017/8/18/16162108/google-research-algorithm-watermark-removal-photo-protection

#cv #dl #google

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

Comparison of 13 classic ML algorithms on 165 datasets.

https://arxiv.org/pdf/1708.05070.pdf

#meta #arxiv #ml

Netflix shared its recommendation engine scheme:

https://medium.com/netflix-techblog/distributed-time-travel-for-feature-generation-389cccdd3907

#ml #rs #spark #hadoop

NLP for beginners

http://blog.kaggle.com/2017/08/25/data-science-101-getting-started-in-nlp-tokenization-tutorial/

#tutorial #nlp

Another breakthrough with generative models.

BEGAN: Boundary Equilibrium Generative Adversarial Networks

https://arxiv.org/abs/1703.10717

#gan #cv

ARkit Sudoku solver built with CoreML

https://blog.prototypr.io/behind-the-magic-how-we-built-the-arkit-sudoku-solver-e586e5b685b0

#ar #cv #keras #coreml

Winning approaches for solving Advanced Driver Assistance System challenge on Kaggle:

https://blog.getnexar.com/how-a-22-year-old-from-shanghai-won-a-global-deep-learning-challenge-76f2299446a1

#deeplearning #kaggle #cv

Great example of feature visualisation

https://distill.pub/2017/feature-visualization/

The State of Data Science & Machine Learning 2017 by Kaggle.

Very informative article about age, job titles, most popular languages and everything related to DS / ML.

Not to mention that source data is included.

https://www.kaggle.com/surveys/2017

#kaggle #statistics

Release of a nice NLP-processing library.

https://www.techleer.com/articles/404-spacy-20-released-natural-language-processing-with-python/

#nlp #python

Google's open source candy for all ML community:

Source-to-Source Debuggable Derivatives


https://opensource.googleblog.com/2017/11/tangent-source-to-source-debuggable.html?m=1

#opensource #nn #python #google