Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.

Slides are available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/

**Deep Learning Lecture 1: Introduction**

**Deep Learning Lecture 2: linear models**

**Deep Learning Lecture 3: Maximum likelihood and information**

**Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1)**

**Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2)**

**Deep Learning Lecture 6: Optimization**

**Deep learning Lecture 7: Logistic regression, a Torch approach**

**Deep Learning Lecture 8: Modular back-propagation, logistic regression and Torch**

**Deep Learning Lecture 9: Neural networks and modular design in Torch**

**Deep Learning Lecture 10: Convolutional Neural Networks**