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439 results

LearnOpenCV
2D Convolution Explained: Fundamental Operation in Computer Vision

Blog Link: https://learnopencv.com/understanding-convolutional-neural-networks-cnn/ Check out our FREE Courses at ...

5:06
2D Convolution Explained: Fundamental Operation in Computer Vision

96,811 views

2 years ago

An Introduction to Convolutional Codes
Applications of Convolutional Codes

And then we will talk about some application of convolutional code we will first discuss some application since for deep space.

9:51
Applications of Convolutional Codes

1,252 views

9 years ago

Anu
Time and transform domain approach of convolutional encoder

Cyclic code notes https://drive.google.com/file/d/1Q0mEYjR-CeVGUJCeJr_H3nf-QIICkkZG/view?usp=drivesdk Do subscribe to ...

5:10
Time and transform domain approach of convolutional encoder

13,021 views

5 years ago

Bioinformatics Algorithms: An Active Learning Approach
Soft Decoding Problem

Enjoy what you see? Check out our textbook website at http://bioinformaticsalgorithms.org. This is Part 9 of 10 of a series of ...

7:08
Soft Decoding Problem

7,077 views

10 years ago

IBM Technology
What are Convolutional Neural Networks (CNNs)?

Ready to start your career in AI? Begin with this certificate → https://ibm.biz/BdKU7G Learn more about watsonx ...

6:21
What are Convolutional Neural Networks (CNNs)?

714,699 views

4 years ago

Computerphile
How Blurs & Filters Work - Computerphile

Image filters make most people think of Instagram or Camera Phone apps, but what's really going on at pixel level? Image Analyst ...

7:52
How Blurs & Filters Work - Computerphile

586,923 views

10 years ago

Sebastian Raschka
L16.3 Convolutional Autoencoders & Transposed Convolutions

Sebastian's books: https://sebastianraschka.com/books/ Slides: ...

16:08
L16.3 Convolutional Autoencoders & Transposed Convolutions

19,433 views

4 years ago

Principles of Communication Systems: Part - II
Lec 50 | Principles of Communication-II | Example of Convolutional Code Output| IIT Kanpur

Want to learn Machine Learning, Quantum Computing with PYTHON? Check out our program!

18:10
Lec 50 | Principles of Communication-II | Example of Convolutional Code Output| IIT Kanpur

9,395 views

8 years ago

Sebastian Raschka
L13.5 Cross-correlation vs. Convolution (Old)

Sebastian's books: https://sebastianraschka.com/books/ Check out the updated video that fixes the audio issues: ...

10:17
L13.5 Cross-correlation vs. Convolution (Old)

8,045 views

4 years ago

Lightning AI
Unit 7.2 | How Convolutional Networks Work | Part 3 | Convolutions with Multiple Channels

Follow along with Unit 7 in a Lightning AI Studio, an online reproducible environment created by Sebastian Raschka, that ...

4:24
Unit 7.2 | How Convolutional Networks Work | Part 3 | Convolutions with Multiple Channels

514 views

2 years ago

Валентин Сичкар
Track movement of the object via Convolution

Design your own deep CNN, convolutional neural network here: ...

13:31
Track movement of the object via Convolution

431 views

4 years ago

Computerphile
Finding the Edges (Sobel Operator) - Computerphile

Our eyes can spot edges with no problems, but how do computers determine what's an edge and what's not? Image Analyst Dr ...

7:46
Finding the Edges (Sobel Operator) - Computerphile

536,818 views

10 years ago

Profound Academy
Sliding Window Technique

The Sliding Window technique is a key tool in algorithmic problem-solving that can significantly speed up calculations and ...

6:18
Sliding Window Technique

93,980 views

2 years ago

Bill Kinney
Having Trouble with Convolution? A Simple Discrete Probability Example will Help

The convolution of two functions is a very difficult concept. In the discrete case, it's a bit easier, especially if the two functions have ...

18:29
Having Trouble with Convolution? A Simple Discrete Probability Example will Help

1,394 views

3 years ago

Deepia
Autoencoders | Deep Learning Animated

In this video, we dive into the world of autoencoders, a fundamental concept in deep learning. You'll learn how autoencoders ...

11:41
Autoencoders | Deep Learning Animated

120,180 views

1 year ago

Google for Developers
Machine Learning Foundations: Ep #4 - Coding with Convolutional Neural Networks

Machine Learning Foundations is a free training course where you'll learn the fundamentals of building machine learned models ...

7:06
Machine Learning Foundations: Ep #4 - Coding with Convolutional Neural Networks

41,932 views

5 years ago

StatQuest with Josh Starmer
Neural Networks Pt. 3: ReLU In Action!!!

The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...

8:58
Neural Networks Pt. 3: ReLU In Action!!!

355,373 views

5 years ago

Stanford Online
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 22 - VMLS convolution

Professor Stephen Boyd Samsung Professor in the School of Engineering Director of the Information Systems Laboratory To ...

16:10
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 22 - VMLS convolution

7,671 views

4 years ago

Ductileasy
#02 Convolutional neural network : MNIST Dataset (99% accuracy)

This tutorial will take you, step by step, to learn the basics of Deep Learning and to use the full power of Keras and Tensorflow ...

6:07
#02 Convolutional neural network : MNIST Dataset (99% accuracy)

15,337 views

5 years ago

Leo Isikdogan
How to Design a Convolutional Neural Network

Check out the follow-up video: How to Design a Neural Network | 2020 Edition https://youtu.be/g2vlqhefADk Designing a good ...

11:47
How to Design a Convolutional Neural Network

49,746 views

7 years ago