# Lectures

> Source: https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/ · Updated: 2025-10-31

- [Lecture - Uncertainty in Deep Learning MT25, Approximate inference](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/inference/)
- [Lecture - Uncertainty in Deep Learning MT25, Bayesian probabilistic modelling](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/modelling/)
- [Lecture - Uncertainty in Deep Learning MT25, Introduction](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/introduction/)
- [Lecture - Uncertainty in Deep Learning MT25, Some very useful mathematical tools](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/tools/)
- [Lecture - Uncertainty in Deep Learning MT25, Stochastic approximate inference in DNNs](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/dnns/)
- [Lecture - Uncertainty in Deep Learning MT25, Uncertainty over functions](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/functions/)
- [Notes - Uncertainty in Deep Learning MT25, Bayesian probability theory](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/lectures/bayesian-probability-theory/)

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