> ## Documentation Index
> Fetch the complete documentation index at: https://aegean.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Training Deep Networks

> Deep neural network architectures and training with backpropagation.

This chapter covers deep neural network fundamentals, from architecture design to training with backpropagation.

## Topics

<CardGroup cols={2}>
  <Card title="DNN Introduction" icon="brain" href="/aiml-common/lectures/dnn/dnn-intro/index">
    Introduction to deep neural network architectures.
  </Card>

  <Card title="Backprop Introduction" icon="arrow-right-arrow-left" href="/aiml-common/lectures/dnn/backprop-intro/index">
    Understanding backpropagation fundamentals.
  </Card>

  <Card title="Backprop in DNNs" icon="diagram-project" href="/aiml-common/lectures/dnn/backprop-dnn/index">
    Applying backpropagation in deep networks.
  </Card>

  <Card title="Backprop Exercises" icon="dumbbell" href="/aiml-common/lectures/dnn/backprop-dnn-exercises/index">
    Hands-on exercises for backpropagation.
  </Card>
</CardGroup>

***

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