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Introduction to Deep Learning from theory to deployment

License: MIT License

Jupyter Notebook 81.44% Python 18.56%

deep-learning-practical-course's Introduction

Welcome to the Deep Learning Practical Course spring 2017

Introduction to Deep Learning from theory to deployment

Program

  • course 1 (05-04-18): Introduction to Deep Learning - Mouhidine SEIV (Riminder)
  • Course 2 (12-04-18): Deep Learning in Computer Vision - Slim FRIKHA (Riminder)
  • Course 3 (19-04-18): Deep Learning in NLP - Paul COURSAUX (Riminder)
  • Course 4 (02-05-18): Introduction to Deep Learning Frameworks - Olivier MOINDROT (Stanford)
  • Course 5 (10-05-18): Efficient Methods and Compression for Deep Learning - Antoine BIARD (Reminiz)
  • Course 6 (17-05-18): Deployment in Production and Parallel Computing - INVITED GUEST

Logistics

All courses of spring 2018 will take place at Ecole Polytechnique Palaiseau from 6:30 pm to 7:45pm.

Registration

Please follow this link for RSVP : https://docs.google.com/forms/d/19YqBXeb5GH9oxfqI8yHVuanRYe-73i_2psPjjxfD5fs/prefill

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