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54 results

Professor Govalla
Convolution example (part 1) - clearly explained

This video introduces a convolution example and demonstrates how to compute the output of a continuous-time LTI system using ...

14:28
Convolution example (part 1) - clearly explained

23 views

6 days ago

Mathalysis World
An easy general idea on proving these convolution formulas

About This Video Welcome to Mathalysis World, where mathematics comes alive through humor, intuition, and deep curiosity.

27:22
An easy general idea on proving these convolution formulas

54 views

4 days ago

AI MasterClass
AIM - Module 3.5: Deep Learning 102: Mastering the Convolutional Building Block

Quiz Questions Your CNN processes 64×64 RGB images. You want 32 output feature maps using 5×5 kernels. What weight ...

33:02
AIM - Module 3.5: Deep Learning 102: Mastering the Convolutional Building Block

9 views

5 days ago

Engineer dude learning
Convolution Theorem | Mathematics-3 Unit-4 Lecture-8 | RGPV 4th Sem CSE

For COMPLETE NOTES Join The Telegram -https://t.me/Engineerdudeofficial Convolution Theorem | Mathematics-3 Unit-4 ...

29:17
Convolution Theorem | Mathematics-3 Unit-4 Lecture-8 | RGPV 4th Sem CSE

951 views

5 days ago

Cipher
Laplace Transform + Convolution: A Complete Fourth Order ODE Derivation

MM-11.3 -18 Use Laplace transform to solve the initial value problem (d^2/dt^2 + 6d/dt + 7)^2 y = 0 y(0) = 0 = y'(0) = y''(0) y'''(0) ...

6:13
Laplace Transform + Convolution: A Complete Fourth Order ODE Derivation

84 views

6 days ago

Nida Karagoz
How do subsequent convolution layers work? (4 SOLUTIONS!!)

How do subsequent convolution layers work? (4 SOLUTIONS!!) ✧ I really hope you found a helpful solution! ♡ The Content is ...

3:55
How do subsequent convolution layers work? (4 SOLUTIONS!!)

0 views

6 days ago

AI MasterClass
AIM - Module 5.2 : CNN Architectures: Evolution of Depth, Width, and Residuals

Quiz Questions You're analyzing a neural network and notice that one layer has exactly zero trainable parameters despite ...

22:41
AIM - Module 5.2 : CNN Architectures: Evolution of Depth, Width, and Residuals

33 views

4 days ago

AI MasterClass
AIM - Module 4.2 : Receptive Field of Deep Convolutional Networks

Quiz Questions You're debugging a CNN designed to detect small objects (roughly 15×15 pixels) in 512×512 images.

4:57
AIM - Module 4.2 : Receptive Field of Deep Convolutional Networks

3 views

5 days ago

KodeCamp Team
KodeCamp 6.0 Beginner Machine Learning Class 21 - Convolutional Neural Networks

Convolutional Neural Networks.

2:10:14
KodeCamp 6.0 Beginner Machine Learning Class 21 - Convolutional Neural Networks

21 views

6 days ago

word.
The Adelic Langlands Program: Goncharov’s Conjecture

The Adelic Langlands Program, a mathematical framework used to prove Goncharov's Conjecture by connecting higher-weight ...

7:09
The Adelic Langlands Program: Goncharov’s Conjecture

1 view

4 days ago

Convolution Educare
Tally with problem solving using vouchers  | Use of Tally in industry | | Convolution  | PKD | A.C

Tally with problem solving using vouchers | Use of Tally in industry | | Convolution | PKD | A.C HURRAY! ✨ ২৫ বছরের ...

51:40
Tally with problem solving using vouchers | Use of Tally in industry | | Convolution | PKD | A.C

112 views

Streamed 5 days ago

Operator Theory & Harmonic Analysis
Seminar on Analysis, Differential Equations and Mathematical Physics - Tatiana Suslina

Prof. Tatiana Suslina from Saint Petersburg State University, Russia, has delivered the online lecture "Homogenization of a ...

54:32
Seminar on Analysis, Differential Equations and Mathematical Physics - Tatiana Suslina

17 views

4 days ago

Engineering Exercise Solutions
Signals and Systems | LTI System Analysis | Impulse Response, Frequency Response | Solved Example

In this video, we solve a comprehensive Signals and Systems problem that covers several fundamental concepts of discrete-time ...

11:14
Signals and Systems | LTI System Analysis | Impulse Response, Frequency Response | Solved Example

7 views

5 days ago

DNB Academy
This Convolution Trick Makes Minimal DnB Snares Sound Incredible

Learn how to use a powerful convolution trick to design clean, textured, and modern minimal Drum and Bass snares. In this video ...

12:31
This Convolution Trick Makes Minimal DnB Snares Sound Incredible

611 views

3 days ago

Codehunters
Convolutional Neural Networks (CNN) Explained From Scratch 🤖|Filters, Pooling & Feature Maps

Learn how Convolutional Neural Networks (CNNs) actually understand images from scratch! In this episode of our AI Mastery ...

22:37
Convolutional Neural Networks (CNN) Explained From Scratch 🤖|Filters, Pooling & Feature Maps

45 views

22 hours ago

VisualMathAI
The Sigmoid Function, Explained Visually (And Why It Fails)

A visual, intuitive guide to the sigmoid function — where it came from, how its slope works, and why it broke deep learning.

3:55
The Sigmoid Function, Explained Visually (And Why It Fails)

17 views

4 days ago

AI MasterClass
AIM - Module 3.7: Building Block - Max Pool

Quiz Questions During backprop through a 4×4→2×2 max pool layer, you receive 4 gradients from the next layer. How many ...

13:40
AIM - Module 3.7: Building Block - Max Pool

2 views

5 days ago

Moberg Analytics
A Continuous Convolutional Neural Network

This July, we had the honor of hosting Inayah Hodžić for the 22nd installment of our webinar, Case Studies in Neurocritical Care ...

1:01:47
A Continuous Convolutional Neural Network

16 views

21 hours ago

Simons Institute for the Theory of Computing
Two classical oracle separations between QMA and QCMA

John Bostanci (Columbia University) https://simons.berkeley.edu/talks/john-bostanci-columbia-university-2026-07-20 Quantum ...

58:20
Two classical oracle separations between QMA and QCMA

304 views

Streamed 18 hours ago

Signals and Systems IITM
Quiz discussion

But there can be questions where you will be asked to do the convolution, but that function will be used it, like a unit step, rect ...

19:11
Quiz discussion

10 views

Streamed 1 day ago