From c13e8c4e5d0d641c5b0346e3808ee92611f6cd7a Mon Sep 17 00:00:00 2001 From: Ken Date: Tue, 28 Nov 2023 19:24:23 +0100 Subject: [PATCH] update deep learning lab --- content/deep_learning/labos.md | 7 +++---- content/deep_learning/prelab.md | 9 ++++----- 2 files changed, 7 insertions(+), 9 deletions(-) diff --git a/content/deep_learning/labos.md b/content/deep_learning/labos.md index c231e26..417d740 100644 --- a/content/deep_learning/labos.md +++ b/content/deep_learning/labos.md @@ -37,9 +37,8 @@ Implementer et tester: Durant chaque laboratoire votre avancement sera côté, le labo 1 vaut 5 points, labo 2 vaut 5 points et le labo 3 vaut 6 points. # Ressources -- [Deep Learning](https://www.udacity.com/course/deep-learning-nanodegree--nd101), udacity nanodegree + +- [Understanding Deep Learning](https://udlbook.github.io/udlbook/), Simon J.D. Prince. - CS231n: Deep Learning for Computer Vision, Stanford university. - [Dive into Deep Learning](https://d2l.ai/) -- [Introduction to Deep - Learning](https://sebastianraschka.com/blog/2021/dl-course.html), Sebastian Raschka -- INFO8010 - Deep Learning, Gilles Louppe, ULiège. +- [Introduction to Deep Learning](https://sebastianraschka.com/blog/2021/dl-course.html), Sebastian Raschka diff --git a/content/deep_learning/prelab.md b/content/deep_learning/prelab.md index ef4383b..0bd8288 100644 --- a/content/deep_learning/prelab.md +++ b/content/deep_learning/prelab.md @@ -74,9 +74,8 @@ Ouvrez le fichier `preparation.ipynb` dans le dossier `homework` avec jupyter et # Ressources -- [Deep Learning](https://www.udacity.com/course/deep-learning-nanodegree--nd101), udacity nanodegree - - CS231n: Deep Learning for Computer Vision, Stanford university. + +- [Understanding Deep Learning](https://udlbook.github.io/udlbook/), Simon J.D. Prince. +- CS231n: Deep Learning for Computer Vision, Stanford university. - [Dive into Deep Learning](https://d2l.ai/) -- [Introduction to Deep - Learning](https://sebastianraschka.com/blog/2021/dl-course.html), Sebastian Raschka -- INFO8010 - Deep Learning, Gilles Louppe, ULiège. +- [Introduction to Deep Learning](https://sebastianraschka.com/blog/2021/dl-course.html), Sebastian Raschka