eBooks E-Books Lecture 9 Neural networks and modular design in Torch (Oxford) Lecture 8 Modular back-propagation, logistic regression and Torch (Oxford) Lecture 7 Logistic regression, a Torch approach (Oxford) Lecture 6 Optimization (Oxford) Lecture 5 Regularization, model complexity and data complexity (part 2) (Oxford) Lecture 4 Regularization, model complexity and data complexity (part 1) (Oxford) Lecture 3 Maximum likelihood and information (Oxford) Lecture 2 Linear models (Oxford) Lecture 16 Reinforcement learning and neuro-dynamic programming (Oxford) Introduction to Deep Reinforcement Learning (Deep RL) (MIT) Lecture 15 Deep Reinforcement Learning – Policy search (Oxford) Introduction to Deep Learning and Self-Driving Cars (MIT) Lecture 14 Karol Gregor on Variational Autoencoders and Image Generation (Oxford) Intro to Machine Learning (in 360/VR) (MIT) Lecture 13 Alex Graves on Hallucination with RNNs (Oxford) State of the Art (MIT) « Previous 1 … 2,367 2,368 2,369 2,370 2,371 … 4,276 Next »
