Lecture Notes: Neural Network Architectures
Machine Learning
2023-04-19 v2 Optimization and Control
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.
Cite
@article{arxiv.2304.05133,
title = {Lecture Notes: Neural Network Architectures},
author = {Evelyn Herberg},
journal= {arXiv preprint arXiv:2304.05133},
year = {2023}
}
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