MIT 6.S191: Introduction to Deep Learning - MIT 6.S191 (2020): Recurrent Neural Networks

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deep learning mit artificial intelligence neural networks machine learning recurrent neural networks rnn what is a rnn 6s191 6.s191 mit deep learning ava soleimany

Full Transcript

MIT Introduction to Deep Learning 6.S191: Lecture 2 Recurrent Neural Networks Lecturer: Ava Soleimany January 2020 For all lectures, slides, and lab materials: http://introtodeeplearning.com Lecture Outline 0:00 - Introduction 2:39 - Sequence modeling 9:57 - Recurrent neural networks 14:04 - RNN intuition 16:48 - Unfolding RNNs 20:31 - Backpropagation through time 24:32 - Gradient issues 28:57 - Long short term memory (LSTM) 37:36 - RNN applications 41:30 - Attention 44:05 - Summary Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

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