6 Variational Inference

6.1 Why variational inference

1. Modelling aleatoric uncertainty (on data)Video   PENDING Notebook

2. Modelling epistemic uncertainty (on models)Video   PENDING Notebook

3. Variational inference for Bayesian regressionVideo   PENDING Notebook

4. Expectations and reparametrizationVideo   PENDING Notebook

LAB 1 Expectations and gradientsVideo   PENDING Notebook

6.2 Applications

1. Bayesian neural networksVideo   PENDING Notebook

XX. The DenseVariational layerVideo   PENDING

2. Dirichlet distributionVideo   PENDING Notebook

3. Variational inference for text modelingVideo   PENDING Notebook

4. Variational inference for data estimationVideo   PENDING Notebook

LAB 1 Variational autoencodersVideo   PENDING Notebook

LAB 2 Topic modellingVideo   PENDING Notebook