Introduction to deep learning with Python
Summer camp
Computational and Data Systems Initiative
This 5-day workshop is an introductory, short course on deep learning. It is designed for anyone who wishes to obtain basic knowledge of machine learning and explore deep learning from scratch. The workshop provides you with a practical introduction to basic and selected topics on deep learning through the Keras framework in Python.
The outcomes of this workshop include knowledge of:
ÌýÌýÌýÌý - The building blocks of neural networks
ÌýÌýÌýÌý - Introduction to Keras and TensorFlow
ÌýÌýÌýÌý - Classification and regression with neural networks
ÌýÌýÌýÌý - Fundamentals and workflows of machine learning
ÌýÌýÌýÌý - Deep learning for time series (and text)
Prerequisites:
ÌýÌýÌýÌý - Basic Python programming experience. Familiarity with NumPy library would be helpful, however it is not required.
ÌýÌýÌýÌý - High school-level mathematics.
Date: Monday to Friday, 22 to 26 August, 2022.
Time: 10 a.m. to 3:30 p.m. (with a lunch break from 12 to 1:30).
Location: room 511 (5th floor), inside the Geographic Information Center.
Instructor: , Associate Professor of Statistics, Department of Mathematics and Statistics.
This workshop is offered for free by the Faculty of Science to the McGill community. If demand exceeds capacity, we will give preference to graduate students. Registration closes on July 27.Ìý
Ìý
