Lecture Notes: Neural Network Architectures

Evelyn Herberg
4/11/2023
cs.LGmath.OC

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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.

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Cite this paper

@article{herberg2023lecture,
  title  = {Lecture Notes: Neural Network Architectures},
  author = {Evelyn Herberg},
  year   = {2023},
  eprint = {2304.05133},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.05133v2}
}

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