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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> |
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| <span>Updated 2026-09-23</span> |
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