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DLVU
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Deep Learning at VU Amsterdam.
Latest Videos
34:27
Lecture 12.4 Scaling up (Mixed precision, Data-parallelism, FSDP)
DLVU
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2 years ago
31:58
Lecture 6.3 variational autoencoders
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2 years ago
26:06
Lecture 6.2 Latent variable model
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2 years ago
11:01
Lecture 1.3 Autoencoders
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2 years ago
14:31
Lecture 1.2 Regression, classification and loss functions
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2 years ago
14:46
Lecture 1.1 Neural networks
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2 years ago
28:04
Lecture 2.4 Automatic Differentiation (DLVU)
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3 years ago
26:55
Lecture 2.3 Backpropagation, a tensor view (DLVU)
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3 years ago
31:02
Lecture 2.2 Backpropagation, scalar perspective (DLVU)
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3 years ago
9:30
Lecture 1.1 Organization of the course
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4 years ago
23:35
Lecture 12.3 Famous transformers (BERT, GPT-2, GPT-3)
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5 years ago
22:30
Lecture 12.1 Self-attention
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5 years ago
18:08
Lecture 12.2 Transformers
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5 years ago
24:27
Lecture 11.3 World Models
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5 years ago
29:02
Lecture 11.2 Variance Reduction for Policy Gradient (Actor-Critic)
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5 years ago
33:06
Lecture 11.1 Deep Q-Learning
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5 years ago
32:47
Lecture 10.3 ARM & Flows
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5 years ago
33:42
Lecture 10.2 ARM & Flows
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5 years ago
2:20
Lecture 10.1 ARM & Flows
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5 years ago
24:15
Lecture 9.1 Introduction to Reinforcement Learning
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5 years ago
25:14
Lecture 9.2 The REINFORCE algorithm
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5 years ago
31:29
Lecture 9.3 Gradient Estimation
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5 years ago
16:57
Lecture 8.4 Application - query embedding
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5 years ago
21:27
Lecture 8.3 Graph Neural Networks
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5 years ago
23:34
Lecture 8.2 Graph and node embedding
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5 years ago
10:42
Lecture 8.1a Introduction - Graphs
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5 years ago
9:14
Lecture 8.1b Introduction - Embeddings
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5 years ago
23:42
Lecture 7.2 Implicit models GANs
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5 years ago
8:35
Lecture 7.1 Implicit models Density Networks
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5 years ago
22:59
Lecture 5.5 ELMo, Word2Vec
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5 years ago
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