Semantic Image Segmentation with DeepLab in Tensorflow

https://research.googleblog.com/2018/03/semantic-image-segmentation-with.html

#tensorflow #google #deeplab #dl

“Listing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search”

From #Airbnb team
https://medium.com/airbnb-engineering/listing-embeddings-for-similar-listing-recommendations-and-real-time-personalization-in-search-601172f7603e

Nature has published an article with a #superresolution approach for #CT scans.

https://www.sciencedaily.com/releases/2018/03/180321155324.htm
#arxiv: https://arxiv.org/abs/1704.08841

Comparison of gradient boosting algorithms: CatBoost vs. Light GBM vs. XGBoost

https://towardsdatascience.com/catboost-vs-light-gbm-vs-xgboost-5f93620723db

#xgboost #gbm

NIPS ConvAI2 competition!

http://convai.io

Train Dialogue Agents to chat about personal interests and get to know their dialogue partner -- using the PersonaChat dataset as a training source.

Competition starts now! Ends September 1st.

#nips #conversational #ai #competition

Another approach for writing scientific paper: https://pjreddie.com/media/files/papers/YOLOv3.pdf.

Less BS, more data and clear messages (like `What This All Means`).

Another quote:

YOLOv3 is a good detector. It’s fast, it’s accurate. It’s not as great on the COCO average AP between .5 and .95 IOU metric. But it’s very good on the old detection metric of .5 IOU.

Google published new article about voice cloning: Expressive Speech Synthesis with Tacotron

link: https://research.googleblog.com/2018/03/expressive-speech-synthesis-with.html
samples: https://google.github.io/tacotron/publications/global_style_tokens/

#wavenet #audio #speech #deeplearning

Google has released #Tensorflow 1.7.0

Major feature is: (!) TensorBoard Debugger Plugin, the graphical user interface (GUI) of TensorFlow Debugger (tfdbg), is now in alpha.

Link: https://github.com/tensorflow/tensorflow/releases/tag/v1.7.0

Results of the Stack overflow survey:

7.7% of the respondents are Data Scientists / ML engineers.

Python is about to surpass PHP in popularity.

https://insights.stackoverflow.com/survey/2018/

Chemical synthesis with MCTS, neural nets and symbolic AI.

An AI system finds correct sequence of steps to synthesize complex organic molecules -- a task much more complex than the game of Go. 95% success in 13 seconds on ordinary hardware.
https://www.nature.com/articles/nature25978.epdf
https://arxiv.org/abs/1708.04202

Semantic Segmentation Models for Autonomous Vehicles


https://www.kdnuggets.com/2018/03/semantic-segmentation-models-autonomous-vehicles.html

#deeplearning #segmentation

Microsoft’s AI course is now open and free

Microsoft Professional Program for Artificial Intelligence — previously being available only to employees is now available at edx.org for free. Program includes 10 courses from basic python programming to deep learning and reinforcement learning disciplines.

https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/

#mooc #microsoft #course

OpenAI launched Retro Contest — a contest where agents use their past experience to adapt to new environments. In this contest agents have to play previously unseen levels.
https://blog.openai.com/retro-contest/

#kaggle #rl #openai

Neural networks #architecture #cheatsheet #nn

New paper on generating images from scene description using GANs

https://arxiv.org/abs/1804.01622

#arxiv #gan

Top 20 papers according to citation counter from academic.microsoft.com

https://www.kdnuggets.com/2018/03/top-20-deep-learning-papers-2018.html

#chart #dl

This is example how image can trick human brain, because blue lines are actually parallel.

So one shouldn’t blame neural networks for messing up classes.

High-level overview of different Object detection architectures: Fast R-CNN, Faster RCNN, Mask R-CNN, R-FCN, FPN, YOLO, SSD, RetinaNet:

https://medium.com/@jonathan_hui/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9

#dl #list #comparison #cv