Deep Learning: Technical Introduction
Deep Learning: Technical Introduction
by Thomas Epelbaum
Publisher: arXiv.org 2017
Number of pages: 106
Description:
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.
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