Archive for May 2019

It all starts from physics. The entropy of an isolated system never decreases… Everyone at school, at some point of his life, learned this in his physics class. What does this have to do with machine learning?
To find out, listen to the show.

 

References

Entropy in machine learning 
https://amethix.com/entropy-in-machine-learning/

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Deep learning is the future. Get a crash course on deep learning. Now!
In this episode I speak to Oliver Zeigermann, author of Deep Learning Crash Course published by Manning Publications at https://www.manning.com/livevideo/deep-learning-crash-course

Oliver (Twitter: @DJCordhose) is a veteran of neural networks and machine learning. In addition to the course - that teaches you concepts from prototype to production - he's working on a really cool project that predicts something people do every day... clicking their mouse. 

If you use promo code poddatascienceathome19 you get a 40% discount for all products on the Manning platform

Enjoy the show!

 

References:

 

Deep Learning Crash Course (Manning Publications)

https://www.manning.com/livevideo/deep-learning-crash-course?a_aid=djcordhose&a_bid=e8e77cbf

 

Companion notebooks for the code samples of the video course "Deep Learning Crash Course"

https://github.com/DJCordhose/deep-learning-crash-course-notebooks/blob/master/README.md

 

Next-button-to-click predictor source code

https://github.com/DJCordhose/ux-by-tfjs

 

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In this episode I met three crazy researchers from KULeuven (Belgium) who found a method to fool surveillance cameras and stay hidden just by holding a special t-shirt. 
We discussed about the technique they used and some consequences of their findings.

They published their paper on Arxiv and made their source code available at https://gitlab.com/EAVISE/adversarial-yolo

Enjoy the show!

 

References

Fooling automated surveillance cameras: adversarial patches to attack person detection 
Simen ThysWiebe Van RanstToon Goedemé

 

Eavise Research Group KULeuven (Belgium)
https://iiw.kuleuven.be/onderzoek/eavise

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