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
