ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

50 results

CodeEmporium
How to enhance performance of a Convolution Network? Feature Pyramid Networks - Explained!

In this video, we take a look at Feature Pyramid Networks (FPN). What is it? How does it work? Why they are so useful in computer ...

27:31
How to enhance performance of a Convolution Network? Feature Pyramid Networks - Explained!

515 views

2 weeks ago

CodeEmporium
Pointwise Convolutions - EXPLAINED (with code)

In this video, we take a look 1x1 convolutions (point wise convolutions) and demonstrate what they are, why they are useful, ...

22:01
Pointwise Convolutions - EXPLAINED (with code)

802 views

2 months ago

CodeEmporium
Depthwise Separable Convolutions - Explained!

In this video, we take a look at depthwise separable convolutions. What is it? How does it work? Why do it? Code included!

15:16
Depthwise Separable Convolutions - Explained!

529 views

3 weeks ago

CodeEmporium
Visualizing convolution networks

Let's visualize what a convolution neural network actually learns, their feature maps and more! ABOUT ME ⭕ Subscribe: ...

37:38
Visualizing convolution networks

1,215 views

4 months ago

CodeEmporium
Convolution Network back propagation by hand | the math you should know!

In this video, we walk through the back propagation learning procedure in a convolution neural network, step by step. ABOUT ME ...

53:46
Convolution Network back propagation by hand | the math you should know!

1,131 views

5 months ago

CodeEmporium
Deconvolution - what do networks learn? (visualization + code)

In this video, we take a look at what the deep layers of a convolution neural network actually learn with some neat visuals.

22:44
Deconvolution - what do networks learn? (visualization + code)

949 views

3 months ago

Thousand Brains Project
How Does a Reference Frame in Monty Differ From a Feature Map in a Convolutional Neural Network? #ai

The research team answers questions about our recent paper “Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, ...

1:29
How Does a Reference Frame in Monty Differ From a Feature Map in a Convolutional Neural Network? #ai

660 views

4 months ago

CodeEmporium
Where did convolution networks come from?

Let's take a look at how convolution neural networks evolved diving into an early network called Neo-cognitron. Hopefully, we can ...

33:13
Where did convolution networks come from?

1,633 views

6 months ago

The Debug Zone
Python Convolution 3D Array with 2D Kernel for Each Channel Explained

In this video, we delve into the fascinating world of convolution in Python, specifically focusing on how to apply a 2D kernel to ...

3:09
Python Convolution 3D Array with 2D Kernel for Each Channel Explained

22 views

11 months ago

CodeEmporium
Why convolution networks work so well (on images)

In this video, we talk through why convolution networks are so effective with image processing. ABOUT ME ⭕ Subscribe: ...

14:31
Why convolution networks work so well (on images)

1,326 views

4 months ago

CodeEmporium
R-CNN - Explained!

In this video, we take a look at R-CNN (regions with convolution features). We see how training and inference occurs. ABOUT ME ...

18:18
R-CNN - Explained!

1,556 views

3 months ago

Global Initiative of Academic Networks - GIAN
L 06 2D convolution, DFT, Optimal filtering

Medical Informatics, Radiomics, and Image Analysis for Computer-Aided Diagnosis Course Code: 2412136 Offered by: ...

1:31:17
L 06 2D convolution, DFT, Optimal filtering

7 views

5 months ago

CodeEmporium
Inception Net - Explained! (with code)

In this video, we take a look the inception network architecture. What is it? What does it look so funky? How do we code it out?

15:46
Inception Net - Explained! (with code)

851 views

2 months ago

The Debug Zone
How to Prepare Input Data for Conv1D in Keras: A Step-by-Step Guide

In this video, we will explore the essential steps for preparing input data for Conv1D layers in Keras, a powerful deep learning ...

2:42
How to Prepare Input Data for Conv1D in Keras: A Step-by-Step Guide

3 views

5 months ago

Electrical & Computer Learning Center, ECL Center
Principles of Digital Communication II - MIT - Lec 13

Lecture 13: Introduction to Convolutional Codes Topics covered: Introduction to Convolutional Codes Instructor: Prof.

1:21:49
Principles of Digital Communication II - MIT - Lec 13

9 views

8 months ago

CodeEmporium
Mask R-CNN - Explained!

In this video, we take a look the Mask R-CNN network. What is it? How is it trained? Code for inference! ABOUT ME ⭕ Subscribe: ...

28:46
Mask R-CNN - Explained!

576 views

1 month ago

Electrical & Computer Learning Center, ECL Center
Principles of Digital Communication II - MIT - Lec 14

Lecture 14: Introduction to Convolutional Codes Topics covered: Introduction to Convolutional Codes Instructor: Prof.

1:22:16
Principles of Digital Communication II - MIT - Lec 14

7 views

8 months ago

Derek Harter
L11.3.3: Two Approaches for Representing Groups of Words: Sequence models and word embeddings

In this video I continue with our talk about the two basic approaches that you can use to represent word order for processing text ...

35:01
L11.3.3: Two Approaches for Representing Groups of Words: Sequence models and word embeddings

29 views

6 months ago

TU Delft Learning for Life
AIfE2x_2025_Module_3_1_Introduction_to_Computer_Vision_Image_and_Convolution-video

This educational video is part of the course: AI in Architectural Design: Introduction available for free via ...

9:44
AIfE2x_2025_Module_3_1_Introduction_to_Computer_Vision_Image_and_Convolution-video

14 views

3 months ago

Electrical & Computer Learning Center, ECL Center
Principles of Digital Communication II - MIT - Lec 05

Lecture 05: Introduction to Binary Block Codes Topics covered: Introduction to Binary Block Codes Instructor: Prof. David Forney ...

1:34:00
Principles of Digital Communication II - MIT - Lec 05

3 views

8 months ago