NIPS 2017

by Deep Learning

Videos

75:54
NIPS 2017 - Opening Remarks followed by John Platt's Keynote address: Energy Strategies to Decrease CO2 Emissions Deep Learning
51:56
NIPS 2017 - Yael Niv delivers keynote - Learning State Representations Deep Learning
53:01
NIPS 2017 - Pieter Abbeel delivers his keynote - Deep Learning for Robotics Deep Learning
55:17
NIPS 2017 - Lise Getoor, delivers her keynote - The Unreasonable Effectiveness of Structure Deep Learning
53:02
NIPS 2017 - Kate Crawford delivers her keynote, The Trouble with Bias Deep Learning
77:12
NIPS 2017 - Brendan Frey delivers the keynote Why AI Will Make it Possible to Reprogram the Human Genome Deep Learning
115:03
NIPS 2017 - Reinforcement Learning with People tutorial Deep Learning
66:37
NIPS 2017 - Deep Learning - Practice and Trends Tutorial - Part I Deep Learning
36:56
NIPS 2017 - Deep Learning - Practice and Trends Tutorial - Part II Deep Learning
53:11
NIPS 2017 - Reinforcement Learning with People tutorial (+) Deep Learning
83:10
NIPS 2017 - presentations from the Deep Learning, Algorithms session Deep Learning
80:31
NIPS 2017 - presentations from the Neuroscience session Deep Learning
104:21
NIPS 2017 - presentations from the Reinforcement Learning, Algorithms, Applications sessions Deep Learning
100:24
NIPS 2017 - presentations from the Probabilistic Methods, Applications sessions Deep Learning
65:39
NIPS 2017 - presentations from the Reinforcement Learning, Deep Learning session Deep Learning
64:07
NIPS 2017 - presentations from the Optimization session Deep Learning
101:18
NIPS 2017 - presentations from the Theory, Probabilistic Methods sessions Deep Learning
98:48
NIPS 2017 - presentations from the Deep Learning session Deep Learning
107:15
NIPS 2017 - presentations from the Deep Learning, Applications session Deep Learning
102:15
NIPS 2017, presentations from the Algorithms session Deep Learning
65:28
NIPS 2017 - presentations from the Theory session Deep Learning
63:32
NIPS 2017 - presentations from the Algorithms, Optimization session Deep Learning
70:15
NIPS 2017 - presentations from the Optimization session Deep Learning
83:37
NIPS 2017 - presentations from the Algorithms session Deep Learning
142:15
NIPS 2017 - Engineering and Reverse-Engineering Intelligence Using Probabilistic Programs, Program Induction, and Deep Learning Deep Learning
141:12
NIPS 2017 - Deep Probabilistic Modeling with Gaussian Processes Tutorial Deep Learning
136:52
NIPS 2017 - Statistical Relational Artificial Intelligence: Logic, Probability and Computation Tutorial Deep Learning

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