Neural Networks (48)

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18:42

The QuaLiSID system and related video analysis technologies for supporting indiv...

Vasileios Mezaris

2023-06-14

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18 Views

Lecture
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25:19

Dropout: A simple and effective way to improve neural networks

Geoffrey E. Hinton

2013-01-16

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54741 Views

Invited Talk
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01:02:47

Lecture 5: Entropy and Data Compression (IV): Shannon's Source Coding Theorem, S...

David MacKay

2012-11-05

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17821 Views

Lecture
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01:47:56

Lecture 13: Approximating Probability Distributions (III): Monte Carlo Methods (...

David MacKay

2012-11-05

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13815 Views

Lecture
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01:27:15

Lecture 15: Data Modelling With Neural Networks (I): Feedforward Networks: The C...

David MacKay

2012-11-05

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15741 Views

Lecture
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01:36:32

Lecture 16: Data Modelling With Neural Networks (II): Content-Addressable Memori...

David MacKay

2012-11-05

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13326 Views

Lecture
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54:41

Lecture 6: Noisy Channel Coding (I): Inference and Information Measures for Nois...

David MacKay

2012-11-05

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16470 Views

Lecture
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51:00

Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem an...

David MacKay

2012-11-05

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22373 Views

Lecture
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48:35

Lecture 9: A Noisy Channel Coding Gem, And An Introduction To Bayesian Inference...

David MacKay

2012-11-05

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14910 Views

Lecture
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51:08

Lecture 2: Entropy and Data Compression (I): Introduction to Compression, Infor...

David MacKay

2012-11-05

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36504 Views

Lecture
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46:34

Lecture 14: Approximating Probability Distributions (IV): Variational Methods

David MacKay

2012-11-05

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14780 Views

Lecture
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01:23:47

Lecture 12: Approximating Probability Distributions (II): Monte Carlo Methods (I...

David MacKay

2012-11-05

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21034 Views

Lecture
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01:15:52

Lecture 10: An Introduction To Bayesian Inference (II): Inference Of Parameters ...

David MacKay

2012-11-05

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21220 Views

Lecture
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01:01:51

Lecture 1: Introduction to Information Theory

David MacKay

2012-11-05

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145736 Views

Lecture
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01:08:58

Lecture 8: Noisy Channel Coding (III): The Noisy-Channel Coding Theorem

David MacKay

2012-11-05

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14417 Views

Lecture
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56:56

Lecture 4: Entropy and Data Compression (III): Shannon's Source Coding Theorem, ...

David MacKay

2012-11-05

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19741 Views

Lecture
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46:53

Lecture 7: Noisy Channel Coding (II): The Capacity of a Noisy Channel

David MacKay

2012-11-05

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13907 Views

Lecture
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56:55

Lecture 11: Approximating Probability Distributions (I): Clustering As An Exampl...

David MacKay

2012-11-05

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13506 Views

Lecture
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03:43

Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bis...

David P Reichert

2012-09-06

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2760 Views

Demonstration
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04:02

Sequence learning with hidden units in spiking neural networks

Johanni Brea

2012-09-06

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3608 Views

Demonstration