Deep learning: Technical introduction
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- September 2017
- DOI:
- 10.48550/arXiv.1709.01412
- arXiv:
- arXiv:1709.01412
- Bibcode:
- 2017arXiv170901412E
- Keywords:
-
- Statistics - Machine Learning;
- Computer Science - Machine Learning
- E-Print:
- 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