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F18 Lecture 5 : Backpropagation (cont.)
01:17:08
F18 Lecture 4 : Backpropagation
01:12:54
F18 Lecture 1 : Introduction to Deep Learning
01:19:13
F18 Recitation 1 : Amazon Web Services
01:25:54
S18 Lecture 28: Reinforcement Learning (4)
01:02:47
S18 Lecture 27: Reinforcement Learning (3)
01:14:25
S18 Recitation 13: Reinforcement Learning
01:10:20
Brain-computer Interfaces by Byron Yu
01:12:03
S18 Lecture 26: Sequence to Sequence Models (Guest Lecture)
00:22:41
S18 Lecture 26: Sequence to Sequence Models (Guest Lecture)
00:32:50
S18 Lecture 26: Sequence to Sequence Models (Guest Lecture) Part 1
00:08:33
S18 Recitation 11: Hopfield Networks / RBM's
01:03:17
S18 Lecture 25: Reinforcement Learning 3
01:17:28
S18 Lecture 24: Reinforcement Learning 2
01:16:16
S18 Recitation 11: Embeddings & HW Baselines Part 3
00:25:44
S18 Recitation 11: Embeddings & HW Baselines Part 2
00:10:03
S18 Recitation 11: Embeddings & HW Baselines Part 1
00:28:21
S18 Lecture 23: Reinforcement Learning
01:14:18
S18 Lecture 22: Boltzmann Machines
01:21:32
S18 Lecture 21: Hopfield Networks 2
01:17:44
S18 Lecture 20: Hopfield Networks 1
01:18:10
S18 Recitation 9: VAEs
01:18:34
Task and Data Independent Comparison of Neural Network Performance by Gerald Friedland
00:58:00
S18 Guest Lecture: Task and Data Independent Comparison of Neural Network Performance Pt 2
00:08:38
S18 Guest Lecture: Task and Data Independent Comparison of Neural Network Performance Pt1
00:03:08
S18 Lecture 18: GANs pt2
01:19:00
S18 Recitation 8: Attention
01:10:44
S18 Lecture 17: GANs
01:17:08
S18 Lecture 16: Variational Autoencoders
01:21:02
S18 Lecture 15: Representation Learning
01:19:10