Table of Contents
Data Mining and Supervised Machine Learning (USTH)
General Informations
Your Instructor: Ass. Prof. Axel Carlier, University of Toulouse — Ass. Prof. Axel CARLIER, University of Toulouse
Lecture #1
Lecture time:
Monday Nov 11, 2019, 5:30pm-9:30pm Hanoi Time
General introduction to the course and the topic.
A few (already-known) administrative points can be found in the subsequent slides.
Slides
Lab - Tutorial
The first labs consist in tutorials to get familiar with PyTorch.
First, it is necessary to connect to Google Colab. This step requires a Google account.
Then go to the lab repository. You can access 6 tutorials, to be completed sequentially.
Save the tutorials into your own Google Drive, and then open them using Google Colab. Each tutorial is a Jupyter notebook, with instructions and example code, as well as exercises. The code will run remotely on a virtual machine.
Lecture #2
Lecture time:
Tuesday Nov 12, 2019, 5:30pm-9:30pm Hanoi Time
Multi-layer perceptrons
Lab - Tutorial
Tutorials 2 and 3
Lecture #3
Lecture time:
Wednesday Nov 13, 2019, 5:30pm-9:30pm Hanoi Time
Training Neural Networks
Lab - Tutorial
Tutorials 4 and 5
Lecture #4
Lecture time:
Thursday Nov 14, 2019, 5:30pm-9:30pm Hanoi Time
Training Neural Networks in practice
Lecture #5
Lecture time:
Friday Nov 15, 2019, 5:30pm-9:30pm Hanoi Time
Convolutional Neural Networks
Tutorial 6
Lecture #6
Lecture time:
Saturday Nov 16, 2019, 5:30pm-9:30pm Hanoi Time
A glimpse on the challenges of deep learning. Slides