Monday, May 29, 2017

Paris Machine Learning Hors Série #12: Deep Learning and Classification of Pollinating Insects

The streaming of the meetup is here:

In conjunction with the Paris Machine Learning meetup, the Paris Saclay Center for Data Science is organizing today a RAMP on image classification and deep learning. We will classify images of pollinating insects from the SPIPOLL crowdsourcing project of the Paris Museum of Natural History (MNHN).
The RAMP will run in competitive mode (scores available on the leaderboard but not the submission codes) until 8:00PM on June 7. We will switch to the open collaborative mode starting June 8th at an event organized by Proto204 in the Protobus at Futur en Seine. The prizes of the top three contestants of the the closed phase (three pots of honey, brought to you by pollinating insects) will be awarded at the June 8th event.

The kick-off event will start with a half-day with a tutorial on deep learning and convolutional neural nets, followed by an introduction to the particular problem to solve, the RAMP platform, and the starting kit. The tutorial is intended to an audience with basic notions of the pydata ecosystem and machine learning
. The tutorial will be based on the courses of Andrey Karpathy and Olivier Grisel/Charles Ollion. La Paillasse has a limit of 40 participants.

To enter to the kick-off/tutorial of May 29, we will ask you to sign up at the RAMP platform, sign up to the Titanic test RAMP, and make a submission. The selection among those who clear this step will be based on first-come-first-serve, but we maintain the right to change the criteria. If there is enough interest, we can add a second day later in the week.

Very Important:
Note that participation in the pollinating insects RAMP is open to everyone: it is not conditioned on participating in the kickoff event. The starting kit is entirely self-explanatory.

We have not yet set up the pollinating insects event at the RAMP site, but those who would like to start preparing can download the starting kit of our previous insect classification RAMP (which had less images and classes). The starting kit contains a Jupyter notebook which you can open on your laptop. On the other hand, to execute the starting kit, you will need to have access to a GPU-equipped machine. The simplest way is to set up an account at AWS following this tutorial. We have prepared an AMI called "pollinating_insects_users" on the Frankfurt and Oregon nodes which contains the data and the starting kit preinstalled.

You can read more about RAMPs here

Schedule :
09:00 - 09:30 Welcome of participants & Coffee
09:30 - 13:00 Deep learning and convolutional neural nets tutorial
13:00 - 14:00 Buffet lunch
14:00 - 18:00 Pollenating insects and the RAMP platform: First submissions


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