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Notebook 17.1 - Latent variable models: ipynb/colab
Notebook 17.2 - Reparameterization trick: ipynb/colab
Notebook 17.3 - Importance sampling: ipynb/colab
- Notebook 18.1 - Diffusion encoder: ipynb/colab /li>
+ Notebook 18.1 - Diffusion encoder: ipynb/colab
Notebook 18.2 - 1D diffusion model: ipynb/colab
Notebook 18.3 - Reparameterized model: ipynb/colab
Notebook 18.4 - Families of diffusion models: ipynb/colab
@@ -361,9 +361,9 @@
Notebook 19.4 - Temporal difference methods: ipynb/colab
Notebook 19.5 - Control variates: ipynb/colab
Notebook 20.1 - Random data: ipynb/colab
- Notebook 20.2 - Full-batch gradient descent: ipynb/colab /li>
- Notebook 20.3 - Lottery tickets: ipynb/colab /li>
- Notebook 20.4 - Adversarial attacks: ipynb/colab a/li>
+ Notebook 20.2 - Full-batch gradient descent: ipynb/colab
+ Notebook 20.3 - Lottery tickets: ipynb/colab
+ Notebook 20.4 - Adversarial attacks: ipynb/colab a
Notebook 21.1 - Bias mitigation: ipynb/colab
Notebook 21.2 - Explainability: ipynb/colab