The UBC Scientific Software Seminar brings together students, graduates, fellows and faculty at UBC to develop software skills for science.
Hands-On Machine Learning with Scikit-Learn & Tensorflow is a beautiful book written by Aurélien Geron and includes a series of Jupyer notebooks for each chapter. Our goal is to work through as many notebooks as we can. Everyone is invited!
- To master scikit-learn for machine learning
- To learn the basics of Tensorflow for constructing and training neural networks
Our machine learning seminar meets every Friday 1-2pm in LSK 121. Please join the UBCS3 mailing list to receive weekly updates about the seminar.
| Date | Topic | Presenter |
|---|---|---|
| January 26 | Up and Running with Tensorflow (Ch. 9) | @patrickwalls |
| February 2 | Introduction to Artificial Neural Networks (Ch. 10) | @patrickwalls |
| February 9 | No meeting | |
| February 16 | No meeting | |
| February 23 | Reading Break | |
| March 2 | Training Deep Neural Nets (Ch. 11) | @asberk |
| March 9 | Convolutional Neural Networks (Ch. 13) | @inygy |
| March 16 | Convolutional Neural Networks (Continued) (Ch. 13) | @inygy |
| March 23 | Pytorch | @sempwn |
| March 30 | No meeting | |
| April 6 | Distributing Tensorflow Graphs Across Local and Networked Devices | Nate Bade |