Deep learning: Technical introduction
arXiv:1709.01412
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.
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: [email protected]. v2: minor typos corrected