# Lecture Notes: Neural Network Architectures

**Authors:** Evelyn Herberg  
**arXiv:** [2304.05133](https://arxiv.org/abs/2304.05133)  
**Date:** 2023-04-11  
**Summary page:** https://www.summarizepaper.com/fr/paper/2304.05133v2/

## Abstract

These lecture notes provide an overview of Neural Network architectures from a mathematical point of view. Especially, Machine Learning with Neural Networks is seen as an optimization problem. Covered are an introduction to Neural Networks and the following architectures: Feedforward Neural Network, Convolutional Neural Network, ResNet, and Recurrent Neural Network.
