https://github.com/Riminder/deep-learning-practical-course

Introduction to Deep Learning from theory to deployment
https://github.com/Riminder/deep-learning-practical-course

computer-vision deep-learning deployment natural-language-processing neural-network

Last synced: 3 months ago
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Introduction to Deep Learning from theory to deployment

• Host: GitHub
• URL: https://github.com/Riminder/deep-learning-practical-course
• Owner: Riminder
• License: mit
• Created: 2018-04-07T18:01:24.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-07T00:58:10.000Z (over 6 years ago)
• Last Synced: 2024-06-22T23:52:12.758Z (6 months ago)
• Topics: computer-vision, deep-learning, deployment, natural-language-processing, neural-network
• Language: Jupyter Notebook
• Size: 51.4 MB
• Stars: 28
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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 (03-05-18): Introduction to Deep Learning Frameworks - Olivier MOINDROT (Stanford)

- Course 5 (17-05-18): Efficient Methods and Compression for Deep Learning - Antoine BIARD (Reminiz)

- Course 6 (24-05-18): 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