Neural network

Reading time: less than 1 minute

The bread-and-butter of machine learning.

Multi-layer perceptron (MLP)

This is the most vanilla neural network. Also called a fully-connected network. This is just a series of matrix multiplications with non-linearities between them.

You tweak the values in the matrices to make your loss go lower and you’re learning.

The following pages link here

Citation

If you find this work useful, please cite it as:

@article{yaltirakli,
  title   = "Neural network",
  author  = "Yaltirakli, Gokberk",
  journal = "gkbrk.com",
  year    = "2024",
  url     = "https://www.gkbrk.com/neural-network"
}

Not using BibTeX? Click here for more citation styles.

IEEE Citation

Gokberk Yaltirakli, "Neural network", December, 2024. [Online]. Available: https://www.gkbrk.com/neural-network. [Accessed Dec. 17, 2024].

APA Style

Yaltirakli, G. (2024, December 17). Neural network. https://www.gkbrk.com/neural-network

Bluebook Style

Gokberk Yaltirakli, Neural network, GKBRK.COM (Dec. 17, 2024), https://www.gkbrk.com/neural-network

Neural network

Multi-layer perceptron (MLP)

The following pages link here

Citation

Comments

Table of contents

Search

More links