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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.

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

Lecture slides in french

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

Last year's exam

public/res-ens/dmsml18/dmsml18.txt · Last modified: 2019/11/16 05:32 by acarlier