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:
听听听听 - The building blocks of neural networks
听听听听 - Introduction to Keras and TensorFlow
听听听听 - Classification and regression with neural networks
听听听听 - Fundamentals and workflows of machine learning
听听听听 - Deep learning for time series (and text)
Prerequisites:
听听听听 - Basic Python programming experience. Familiarity with NumPy library would be helpful, however it is not required.
听听听听 - 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 平特五不中 community. If demand exceeds capacity, we will give preference to graduate students. Registration closes on July 27.听
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