Machine Learning (2015, University of Oxford)
Machine Learning (2015, University of Oxford). Instructor: Professor Nando de Freitas. Machine learning techniques enable us to automatically extract features from data so as to solve predictive tasks,
such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalisation, robot control,
time series forecasting, and much more. Learning systems adapt so that they can solve new tasks, related to previously encountered tasks, more efficiently.
The course focuses on the exciting field of deep learning. By drawing inspiration from neuroscience and statistics, it introduces the basic background on neural networks, back propagation, Boltzmann machines,
autoencoders, convolutional neural networks and recurrent neural networks. It illustrates how deep learning is impacting our understanding of intelligence and contributing to the practical design of intelligent machines.
(from cs.ox.ac.uk)
| Lecture 14 - Variational Autoencoders and Deep Recurrent Attentive Writers by Karol Gregor |
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