ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

99 results

Inside code
How to solve (almost) any binary tree coding problem

Learn graph theory algorithms: https://inscod.com/graphalgo ⚙ Learn dynamic programming: https://inscod.com/dp_course ...

4:20
How to solve (almost) any binary tree coding problem

288,971 views

5 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

13,033 views

5 years ago

Shruthi M.L.J
Convolution coding

Lecture by Prof. Harsha B K & Shruthi M L J.

9:42
Convolution coding

3,247 views

8 years ago

An Introduction to Convolutional Codes
Applications of Convolutional Codes

Welcome to the course on error control coding an introduction to convolutional codes today we are going to discuss some of the ...

9:51
Applications of Convolutional Codes

1,252 views

9 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

9,409 views

8 years ago

IBM Technology
What are Autoencoders?

Learn about watsonx: https://ibm.biz/BdvxR8 An autoencoder is an unsupervised learning technique, but what does that mean?

5:00
What are Autoencoders?

177,228 views

3 years ago

Engineering and Technology
Information Coding Theory   Part 21 - Viterbi Decoder, Recursive Systematic Convolutional Code

Information Coding Theory Course - Topics: Viterbi Decoder with Viterbi Algorithm Example, Recursive Systematic Convolutional ...

11:47
Information Coding Theory Part 21 - Viterbi Decoder, Recursive Systematic Convolutional Code

61,055 views

12 years ago

ICSE2021 Conference
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

Learning code representations has found many uses in software engineering, such as code classification, code search, code ...

19:59
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

201 views

4 years ago

Ian Bailey-Mortimer
Tree diagrams

Using Tree Diagrams to model compound events. Tree Diagrams are more flexible than Grids, because they can model more than ...

7:17
Tree diagrams

9,785 views

12 years ago

IBM Technology
What is Random Forest?

Learn about watsonx: https://ibm.biz/BdvxRb Can't see the random forest for the search trees? What IS a "random forest" anyway?

5:21
What is Random Forest?

263,206 views

3 years ago

Sebastian Raschka
L16.4 A Convolutional Autoencoder in PyTorch -- Code Example

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

15:21
L16.4 A Convolutional Autoencoder in PyTorch -- Code Example

15,115 views

4 years ago

The Coding Train
ml5.js: Training a Convolutional Neural Network for Image Classification

In this video, I update the previous classification example (with pixels) and incorporate a convolutional neural network in ml5.js!

18:36
ml5.js: Training a Convolutional Neural Network for Image Classification

33,954 views

5 years ago

The Coding Train
Coding the Maurer Rose

Coding in the Cabana is a series where I attempt challenges from my garden cabana in Brooklyn, NY. In this episode, I code a ...

13:01
Coding the Maurer Rose

95,743 views

6 years ago

3Blue1Brown
Backpropagation, intuitively | Deep Learning Chapter 3

What's actually happening to a neural network as it learns? Help fund future projects: https://www.patreon.com/3blue1brown An ...

12:47
Backpropagation, intuitively | Deep Learning Chapter 3

5,721,773 views

8 years ago

IBM Technology
Neural Networks Explained in 5 minutes

Learn more about watsonx: https://ibm.biz/BdvxRs Neural networks reflect the behavior of the human brain, allowing computer ...

4:32
Neural Networks Explained in 5 minutes

599,432 views

3 years ago

The Coding Train
I.2: Probability Basics - The Nature of Code

In this second section of Chapter I of the Nature of Code, we'll be talking about basic probability. NOC Chapter I ...

8:05
I.2: Probability Basics - The Nature of Code

69,448 views

10 years ago

Tushar Gautam
Must Know Technique in GPU Computing | Episode 4: Tiled Matrix Multiplication in CUDA C

Tiled (general) Matrix Multiplication from scratch in CUDA C. Code Repo: ...

8:42
Must Know Technique in GPU Computing | Episode 4: Tiled Matrix Multiplication in CUDA C

31,033 views

1 year ago

Mohit Shrivastava
Algebraic Lower Bounds on the Free Distance of Convolutional codes

This video is a review of the IEEE paper - '"Algebraic Lower Bounds on the Free Distance of Convolutional codes.” published in ...

6:59
Algebraic Lower Bounds on the Free Distance of Convolutional codes

147 views

5 years ago

Coding Codes
Angular | BEAwA #120 - Generating the Setup Code [By Mosh Hamedani]

Build Enterprise Applications with Angular coding course by Mosh Hamedani (Episode 120)

4:55
Angular | BEAwA #120 - Generating the Setup Code [By Mosh Hamedani]

9 views

2 years ago

The Coding Train
10.1: Introduction to Neural Networks - The Nature of Code

In this video, I provide a brief introduction to neural networks and an overview of topics in upcoming videos. Code: ...

7:32
10.1: Introduction to Neural Networks - The Nature of Code

386,133 views

8 years ago