Deep Learning Tutorial 2019
DSAI DEEP LEARNING TUTORIAL
Registration | syllabus | Packages | Installations | Contacts |
Scope | |||||||||||||||||||||||||||||||||||||||||||||||||
DSAI DL 2019 is a research tutorial event with a global scope aiming at introducing the participants to the basic concepts in the critical and fast developing area of deep learning. As part of the programs of the Data science and artificial intelligence (DSAI) research axis in ICube, the tutorial will help to prepare the participants with more efficient methods to deal with large-scale data in healthcare, computer vision, robotics, etc. Renowned academics and PhD students will lecture and provide hands on practicals with the audience. DSAI DL 2019 is a research tutorial event with a global scope aiming at introducing the participants to the basic concepts in the critical and fast developing area of deep learning. As part of the programs of the Data science and artificial intelligence (DSAI) research axis in ICube, the tutorial will help to prepare the participants with more efficient methods to deal with large-scale data in healthcare, computer vision, robotics, etc. |
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Participation Pre-requisite | |||||||||||||||||||||||||||||||||||||||||||||||||
Participation is by registration. Limited space is available and the slot is given on a first come first serve basis.
In addition, a participant needs the following:
If you have hitches in accessing any file or completing the necessary installations before the program days, keep on watching this space, a date will be announced later to attend to this. |
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Date & Venue | |||||||||||||||||||||||||||||||||||||||||||||||||
Date & Time: Venue: |
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Program The courses will run for 2 days. Participants will be able to attend both sessions. The detailed syllabus can be accessed via link on the menu bar. However, an abridge form is presented as follows: | |||||||||||||||||||||||||||||||||||||||||||||||||
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Speakers | |||||
General Information | |||||
News | Contact us
Email: dltutorial.dsai@icube.unistra.fr Send your questions to this email and we will get back to you. |
correction:
- date and time to fix installations
- Intro writing
- jupyter notebooks
- experiment fundamental
- recommended to use laptop otherwise collab will be use