en
0.25
0.5
0.75
1.25
1.5
1.75
2
Lecture 16: Data Modelling With Neural Networks (II): Content-Addressable Memories And State-Of-The-Art Error-Correcting Codes
Published on Nov 05, 201213326 Views
Related categories
Chapter list
Neural Network Part II00:00
Course Outline00:05
An Orthodox Approach To Content-Addressable Memory (1)04:05
An Orthodox Approach To Content-Addressable Memory (2)04:23
An Orthodox Approach To Content-Addressable Memory (3)05:38
An Orthodox Approach To Content-Addressable Memory (4)05:59
An Orthodox Approach To Content-Addressable Memory (5)06:26
The Hopfield Network (1)11:19
The Hopfield Network (2)11:36
The Hopfield Network (3)12:02
The Hopfield Network (4)13:08
The Hopfield Network (5)13:25
The Hopfield Network (6)14:14
The Hopfield Network (7)14:58
Content Addressable Memory Challenge15:34
Hopfield Network And Hebbian Learning (1)15:41
Hopfield Network And Hebbian Learning (2)15:50
McGurk Effect17:34
Hebbian Learning (1)18:46
Hebbian Learning (2)22:13
Hebbian Learning (3)22:32
Hebbian Learning (4)23:09
Hebbian Learning (5)23:27
Hebbian Learning (6)24:00
Hebbian Learning (7)27:53
Hebbian Learning (8)28:08
Hebbian Learning (9)30:48
Hebbian Learning (10)32:02
Hebbian Learning (11)34:16
Hebbian Learning (12)37:36
Hebbian Learning (13)38:06
Hebbian Learning (14)38:30
Hebbian Learning (15)42:26
Hebbian Learning (16)52:15
The Hopfield Network (8)55:10
Variational Methods (1)56:46
Variational Methods (2)57:20
Boltzman Machine57:34
The Hopfield Network (9)01:00:03
Capacity Of Hopfield Network (1)01:00:52
Capacity Of Hopfield Network (2)01:01:13
Capacity Of Hopfield Network (3)01:02:28
Capacity Of Hopfield Network (4)01:03:07
The Hopfield Network (10)01:03:36
The Travelling Salesman Problem (1)01:04:11
The Travelling Salesman Problem (2)01:04:57
The Travelling Salesman Problem (3)01:06:04
The Travelling Salesman Problem (4)01:06:37
The Travelling Salesman Problem (5)01:07:34
The Travelling Salesman Problem (6)01:08:55
The Travelling Salesman Problem (7)01:10:05
The Travelling Salesman Problem (8)01:11:13
The Hopfield Networks For Optimization01:17:34
What Is This?01:18:21
(7,4) Hamming Code (1)01:20:10
(7,4) Hamming Code (2)01:20:52
(7,4) Hamming Code (3)01:21:01
(7,4) Hamming Code (4)01:25:49
Hopfield Network As Approximating Probability Distribution (1)01:27:29
Error Correcting Codes Using Inference Approximations (1)01:28:24
Error Correcting Codes Using Inference Approximations (2)01:28:49
Error Correcting Codes Using Inference Approximations (3)01:29:17
Error Correcting Codes Using Inference Approximations (4)01:29:35
Error Correcting Codes Using Inference Approximations (5)01:30:18
Performance Close To The Shannon Limit (1)01:30:55
Performance Close To The Shannon Limit (2)01:31:31
Low Density Parity Check Code (1)01:32:04
Low Density Parity Check Code (2)01:32:16
Low Density Parity Check Code (3)01:33:54
Low Density Parity Check Code (4)01:34:59
Everything Is Connected01:35:48
Download The Free Books (1)01:35:53
Download The Free Books (2)01:36:04