Episode 60: Predicting your mouse click (and a crash course in deeplearning) episode artwork

EPISODE · May 16, 2019 · 39 MIN

Episode 60: Predicting your mouse click (and a crash course in deeplearning)

from Data Science at Home · host Francesco Gadaleta

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  

Episode metadata supplied by the publisher feed · Published May 16, 2019

Embed this episode

NOW PLAYING

Episode 60: Predicting your mouse click (and a crash course in deeplearning)

0:00 39:50

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Science at Home?

This episode is 39 minutes long.

When was this Data Science at Home episode published?

This episode was published on May 16, 2019.

Can I download this Data Science at Home episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!