ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

75,286 results

Matthew Towers
MATH0005 L60: kernel and image calculations

MATH0005 L60: reminder of the rank nullity theorem. Example of calculating bases for the image and kernel of a linear map ...

24:19
MATH0005 L60: kernel and image calculations

180 views

5 years ago

JaberTime
The Kernel. Which One Belongs?

The Kernel and Range of a Linear Transformation. Here is the link to the graph in GeoGebra: ...

34:59
The Kernel. Which One Belongs?

102 views

3 years ago

Stanford Online
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

... kernels 28:56 Kernel trick 31:45 A kernel function 33:56 No free lunch theorem 34:40 Example of kernels 54:13 Kernel matrix ...

1:20:25
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

240,339 views

5 years ago

Umar Jamil
Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math

Explanation of the paper Mamba: Linear-Time Sequence Modeling with Selective State Spaces In this video I will be explaining ...

1:14:29
Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math

57,366 views

1 year ago

RANJI RAJ
Kernel Matrix (Python review) & Code flow using Python Tutor

In this video, we will see how to compute a Kernel Matrix using Python and using by Numpy libraries. Also for the code inspection ...

24:16
Kernel Matrix (Python review) & Code flow using Python Tutor

1,187 views

4 years ago

Prime Newtons
Null space of a linear transformation

The null space is also called the Kernel. The dimension oof the null space is called the Nullity of the transformation.

22:31
Null space of a linear transformation

11,284 views

7 months ago

MIT OpenCourseWare
6. Column Space and Nullspace

MIT 18.06 Linear Algebra, Spring 2005 Instructor: Gilbert Strang View the complete course: http://ocw.mit.edu/18-06S05 YouTube ...

46:01
6. Column Space and Nullspace

1,011,119 views

16 years ago

Nick
From Scratch: Matrix Multiplication in CUDA

In this video we look at writing a simple matrix multiplication kernel from scratch in CUDA! For code samples: ...

30:37
From Scratch: Matrix Multiplication in CUDA

25,675 views

6 years ago

IACR
The Kernel Matrix Diffie Hellman Assumption

Paz Morillo and Carla Ràfols and Jorge Luis Villar. Talk at Asiacrypt 2016.

29:54
The Kernel Matrix Diffie Hellman Assumption

260 views

8 years ago

Simons Institute for the Theory of Computing
Random Embeddings, Matrix-valued Kernels and Deep Learning

Vikas Sindhwani, IBM T.J. Watson Research Center Spectral Algorithms: From Theory to Practice ...

55:46
Random Embeddings, Matrix-valued Kernels and Deep Learning

1,581 views

11 years ago

Rinat Sadekov
Lecture 4 4 tiled matrix multiplication kernel
20:51
Lecture 4 4 tiled matrix multiplication kernel

196 views

4 years ago

caltech
Lecture 15 - Kernel Methods

Kernel Methods - Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft ...

1:18:19
Lecture 15 - Kernel Methods

229,918 views

13 years ago

הטכניון - מכון טכנולוגי לישראל
49 -  Ker(T) and Im(T)

Algebra 1M - international Course no. 104016 Dr. Aviv Censor Technion - International school of engineering.

34:28
49 - Ker(T) and Im(T)

134,499 views

10 years ago

Larry Green
Linear Algebra Webinar on the Kernel, Image, and Matrix of a Linear Transformation

That okay well if the kernel of a is non-trivial then let's let m be the matrix of columns that are all in the kernel and actually write.

1:44:28
Linear Algebra Webinar on the Kernel, Image, and Matrix of a Linear Transformation

58 views

4 years ago

MIT OpenCourseWare
5. Positive Definite and Semidefinite Matrices

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang ...

45:27
5. Positive Definite and Semidefinite Matrices

177,592 views

6 years ago

Marcel De Sutter | Recruiting-Automation mit KI
07 - RELATIONSHIP BETWEEN KERNELS AND GPs - INTRODUCTION TO REGRESSION AND KERNEL METHODS

Gaussian processes are defined and kernel matrices are used as covariance matrices. 07 - THE RELATIONSHIP BETWEEN ...

37:41
07 - RELATIONSHIP BETWEEN KERNELS AND GPs - INTRODUCTION TO REGRESSION AND KERNEL METHODS

643 views

4 years ago

Microsoft Research
Making SVMs Robust to Uncertainty in Kernel Matrices

Motivated from several real world problems we consider the problem of designing SVM classifiers which are robust to uncertainty ...

44:45
Making SVMs Robust to Uncertainty in Kernel Matrices

262 views

9 years ago

Pascal Poupart
CS480/680 Lecture 11: Kernel Methods

So here yeah we what we want is this gram matrix key that corresponds to all the kernels we know it's Phi transpose Phi but ...

1:16:14
CS480/680 Lecture 11: Kernel Methods

10,438 views

6 years ago

Professor Zed
Linear Algebra Lesson 4.2 - Kernel and Range

00:00 | Introduction 00:39 | Kernel and range 04:50 | Theorem 1 10:59 | Rank and nullity 24:29 | Theorem 2 25:16 | One-to-one ...

45:36
Linear Algebra Lesson 4.2 - Kernel and Range

59 views

4 years ago

slcmath@pc
Basis, Dimension, Kernel and Image

Course Web Page: https://sites.google.com/view/slcmathpc/home CORRECTION: At 44:21, the last entry of the vector multiplied ...

56:57
Basis, Dimension, Kernel and Image

223,316 views

12 years ago