From 6857abdc02b3bc260c863dc54b03abe6b3937ce6 Mon Sep 17 00:00:00 2001 From: AdrianAlan Date: Mon, 17 Jul 2023 16:36:17 +0200 Subject: [PATCH] Curriculum changes --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1d880df..e899630 100644 --- a/README.md +++ b/README.md @@ -3,5 +3,5 @@ The repository contains material and exercises for the "Introduction to Machine Larning" material developed for [CODAS-HEP](https://codas-hep.org/) 2023. It is split into four parts that include background, theory and hands on exercises (that are HEP focused when possible): - Part 1: **Introduction to Machine Learning**: Motivations and basics of machine learning, linear regression, logistic regression, optimization and regularization. - Part 2: **Supervised Deep Learning**: basics of deep learning, backpropagation, optimization i.e. Multi Layer Perceptrons (MLPs). -- Part 3: **Convolutional Neural Networks and Autoencoders**: working with images, Convolutional Neural Networks (CNNs), motivation for unsupervised learning, PCA, autoencoders. +- Part 3: **Convolutional Neural Networks and Autoencoders**: working with images, Convolutional Neural Networks (CNNs), motivation for unsupervised learning, autoencoders. - Part 4: **Permutation Invarience**: deep sets, background on graphs as data representation, theory of graph neural networks, transformers.