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IVADO/Mila Deep Learning School (4th edition)
9 September 2019 @ 08h00 - 13 September 2019 @ 17h00
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Summary
Deep learning is a machine learning technique that has significantly improved previous results in computer vision, speech recognition, machine translation and other areas. Many other areas are affected by this new technology, or will be. In response to the interest generated by this technology, and in response to training needs, IVADO and Mila are offering a full week of training in English from September 9 to 13, 2019 in Montréal. IVADO and Mila are also partnering with the UBC Data Science Institute to offer this training in Vancouver from December 2 to 6, 2019.
Target audience
The content of this school is mainly aimed at industry professionals and SMEs with basic knowledge of mathematics and programming (engineers, computer scientists, statisticians, technical project managers, product managers, systems engineers, etc.), but professors and graduate students in science or engineering (mainly those who are not yet familiar with deep learning) may also find it interesting.
Prerequisites
A minimal knowledge of programming (ideally Python) and basic knowledge in mathematics (linear algebra, statistics) is desirable.
Objectives
At the end of the training week, participants should be able to:
- Understand the basics and terminology related to deep learning
- Understand the methodology for carrying out a project in deep learning
- Identify the types of neural networks to use to solve different types of problems
- Get familiar with deep learning libraries through practical and tutorial sessions