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  <div class="eyebrow">PGR207 · 2026</div>
  <h1>Deep Learning</h1>
  <p class="lede">Animated, interactive lecture slides. Everything runs in your browser — no install, no account.</p>
  <div class="rule"></div>
  <p class="meta">Vajira Thambawita (PhD) · <a href="mailto:vajira@simula.no">vajira@simula.no</a></p>

  <h2>Lectures</h2>
  <div class="decks">
    <a class="deck" href="lecture-01/index.html">
      <div class="deck__week">Week 1</div>
      <div class="deck__title">Introduction to Deep Learning</div>
      <div class="deck__sub">Course overview, what deep learning is, and where it is used</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
    <a class="deck" href="lecture-02/index.html">
      <div class="deck__week">Week 2</div>
      <div class="deck__title">Basics of Neural Networks</div>
      <div class="deck__sub">Artificial neurons, the perceptron, Adaline and gradient descent</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
    <a class="deck" href="lecture-03/index.html">
      <div class="deck__week">Week 3</div>
      <div class="deck__title">PyTorch for Deep Learning</div>
      <div class="deck__sub">Tensors, autograd, and a fully-connected network on MNIST</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
    <a class="deck" href="lecture-04/index.html">
      <div class="deck__week">Week 4</div>
      <div class="deck__title">Deep Convolutional Neural Networks</div>
      <div class="deck__sub">Locality and weight sharing, the convolution operation, and CNNs in PyTorch</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
    <a class="deck" href="lecture-05/index.html">
      <div class="deck__week">Week 6</div>
      <div class="deck__title">Recurrent Neural Networks</div>
      <div class="deck__sub">Sequence data, the recurrent layer, LSTM and GRU, and an RNN in PyTorch</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
    <a class="deck" href="lecture-06/index.html">
      <div class="deck__week">Week 7</div>
      <div class="deck__title">Transformers</div>
      <div class="deck__sub">Query, key and value; the original architecture, and what modern transformers changed</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
    <a class="deck" href="lecture-07/index.html">
      <div class="deck__week">Week 9</div>
      <div class="deck__title">Generative Models and GANs</div>
      <div class="deck__sub">Autoencoders, VAEs, the adversarial game — and how diffusion took over</div>
      <div class="deck__links"><span>Open slides →</span></div>
    </a>
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    <span>Built with <a href="https://sli.dev/">Slidev</a> · source on <a href="https://github.com/vlbthambawita/DeepLearning">GitHub</a></span>
    <span>Updated 2026-09-23</span>
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