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arxiv: 1709.01412 · v2 · pith:OWL6KED4new · submitted 2017-09-05 · 📊 stat.ML · cs.LG

Deep learning: Technical introduction

classification 📊 stat.ML cs.LG
keywords networktechnicalalgorithmarchitecturesbackpropagationblocksbuildingcommon
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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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