Deep learning: Technical introduction
Machine Learning
2017-09-12 v2 Machine Learning
Abstract
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. For each network, their fundamental building blocks are detailed. The forward pass and the update rules for the backpropagation algorithm are then derived in full.
Keywords
Cite
@article{arxiv.1709.01412,
title = {Deep learning: Technical introduction},
author = {Thomas Epelbaum},
journal= {arXiv preprint arXiv:1709.01412},
year = {2017}
}
Comments
The content of this note can be found on GitHub: https://github.com/tomepel/Technical_Book_DL . If you detect any typo, error, or feel that I forgot to cite an important source, don't hesitate to email: thomas.epelbaum@mediamobile.com. v2: minor typos corrected