{"id":1279,"date":"2016-12-29T21:25:30","date_gmt":"2016-12-29T18:25:30","guid":{"rendered":"http:\/\/artificialbrain.xyz\/?p=1279"},"modified":"2021-08-03T15:50:07","modified_gmt":"2021-08-03T12:50:07","slug":"deep-learning-lectures-at-the-university-of-oxford-by-nando-de-freitas","status":"publish","type":"post","link":"https:\/\/www.newworldai.com\/deep-learning-lectures-at-the-university-of-oxford-by-nando-de-freitas\/","title":{"rendered":"Deep Learning Lectures at the University of Oxford by Nando de Freitas"},"content":{"rendered":"<p>Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.<\/p>\n<p>Slides are available at:\u00a0<a href=\"https:\/\/www.cs.ox.ac.uk\/people\/nando.defreitas\/machinelearning\/\">https:\/\/www.cs.ox.ac.uk\/people\/nando.defreitas\/machinelearning\/<\/a><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 1: Introduction<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/PlhFWT7vAEw\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 2: linear models<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/DHspIG64CVM\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 3: Maximum likelihood and information<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/kPrHqQzCkg0\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1)<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/VR0W_PNwLGw\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2)<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/qz9bKfOqd0Y\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 6: Optimization<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/0qUAb94CpOw\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep learning Lecture 7: Logistic regression, a Torch approach<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/FYgsztDxSvE\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 8: Modular back-propagation, logistic regression and Torch<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/-YRB0eFxeQA\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 9: Neural networks and modular design in Torch<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/NUKp0c4xb8w\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><span style=\"color: #ff0000;\"><strong>Deep Learning Lecture 10: Convolutional Neural Networks<\/strong><\/span><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/bEUX_56Lojc\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. Slides are<\/p>\n","protected":false},"author":2,"featured_media":1280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1476],"tags":[18],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.2.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Deep Learning Lectures at the University of Oxford by Nando de Freitas - New World : Artificial Intelligence<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.newworldai.com\/deep-learning-lectures-at-the-university-of-oxford-by-nando-de-freitas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning Lectures at the University of Oxford by Nando de Freitas - New World : Artificial Intelligence\" \/>\n<meta property=\"og:description\" content=\"Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. 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