ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

59 results

Jeremy Howard
Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...

2:17:43
Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

72,327 views

6 years ago

Institut des Hautes Etudes Scientifiques (IHES)
Stéphane Mallat - Multiscale Models for Image Classification and Physics with Deep Networks

Abstract: Approximating high-dimensional functionals with low-dimensional models is a central issue of machine learning, image ...

1:00:34
Stéphane Mallat - Multiscale Models for Image Classification and Physics with Deep Networks

5,754 views

6 years ago

CNRS - Formation FIDLE
CNN1/ Réseaux convolutifs (CNN)

Principes et concepts des réseaux convolutifs, convolutions et paramètres associés. Toutes nos vidéos ...

27:27
CNN1/ Réseaux convolutifs (CNN)

71,300 views

4 years ago

Alfredo Canziani (冷在)
Matrix multiplication, signals, and convolutions

Spring 2020 website: http://bit.ly/pDL-home Spring 2020 playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani From NYU ...

47:02
Matrix multiplication, signals, and convolutions

5,755 views

5 years ago

A Ch Madhusudanarao
Lec#16 Linear Convolution Properties

Linear Convolution Properties.

36:16
Lec#16 Linear Convolution Properties

262 views

4 years ago

Nils Berglund
Tutorial: How to simulate the wave equation

This tutorial explains how the simulations of the wave equation on this channel have been coded. After giving a derivation and ...

52:29
Tutorial: How to simulate the wave equation

9,493 views

2 years ago

Alfredo Canziani (冷在)
Week 13 – Lecture: Graph Convolutional Networks (GCNs)

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Xavier Bresson Week 13: ...

2:00:23
Week 13 – Lecture: Graph Convolutional Networks (GCNs)

61,403 views

5 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Signals and Systems 17 Discrete Time Convolution Part 1

These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...

31:35
Signals and Systems 17 Discrete Time Convolution Part 1

806 views

7 years ago

Kimia Lab
Machine Intelligence - Lecture 18 (Evolutionary Algorithms)

SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering ...

1:11:47
Machine Intelligence - Lecture 18 (Evolutionary Algorithms)

33,570 views

6 years ago

Salaar Khan
Differentiation of continuous time signals

Lecture 89 Differentiation of continuous time signals Watch previous video here : https://youtu.be/wiIpkvexDR8 Watch next video ...

20:01
Differentiation of continuous time signals

631 views

4 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Signals and Systems 18 Discrete Time Convolution Part 2

These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...

34:17
Signals and Systems 18 Discrete Time Convolution Part 2

644 views

7 years ago

Salaar Khan
Assignment 3 solved

Lecture 129 In this video I solve Assignment 3 of signals and systems (UET Peshawar spring 2020 semester) Watch previous ...

37:07
Assignment 3 solved

111 views

4 years ago

NPTEL IIT Guwahati
Lec 42: U-Net: Convolutional Networks for Image Segmentation

Machine Learning and Deep Learning - Fundamentals and Applications https://onlinecourses.nptel.ac.in/noc23_ee87/preview ...

25:13
Lec 42: U-Net: Convolutional Networks for Image Segmentation

12,684 views

2 years ago

CampusX
What is Convolutional Neural Network (CNN) | CNN Intution

In this video, we will start our discussion around CNN. CNNs are one of the most popular neural network architectures. CNNs are ...

27:10
What is Convolutional Neural Network (CNN) | CNN Intution

228,662 views

3 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Signals and Systems 17 Discrete Time Convolution Part 1 in Hindi

These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...

31:35
Signals and Systems 17 Discrete Time Convolution Part 1 in Hindi

490 views

6 years ago

Gwyn Whieldon
Matrices Everywhere

This is a short video for Math 339: Linear Algebra at Hood College, designed to be watched between Class 1 and 2. It provides a ...

21:06
Matrices Everywhere

371 views

11 years ago

H Logix & Solutions
A Beginner's Guide to Systolic Arrays: 3x3 multiplication using systolic arrays

Systolic Arrays are pipeline architectures for matrix multiplication and matrix convolution. In this video 3X3 Elementary calculation ...

22:33
A Beginner's Guide to Systolic Arrays: 3x3 multiplication using systolic arrays

21,288 views

7 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Signals and Systems 18 Discrete Time Convolution Part 2 in Hindi

These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...

34:17
Signals and Systems 18 Discrete Time Convolution Part 2 in Hindi

361 views

6 years ago

VTU e-Shikshana Programme
Module 01 -- Lecture 07

Transform Calculus, Fourier Series And Numerical Techniques.

59:04
Module 01 -- Lecture 07

455 views

5 years ago

WaiChing Sun
USACM Summer Seminar -- Some applications of graph theory in data-driven multiscale mechanics

In this talk, we will share our experience in using undirected and directed graphs to solve computational solid mechanics ...

1:00:10
USACM Summer Seminar -- Some applications of graph theory in data-driven multiscale mechanics

518 views

5 years ago