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12 results

NMGalaxity
CNNs for Beginners | Convolutional Neural Networks in AI | From simple NN to GenAI | Part 3

In this video, we dive deep into Convolutional Neural Networks (CNNs)—one of the most important AI techniques used in ...

20:29
CNNs for Beginners | Convolutional Neural Networks in AI | From simple NN to GenAI | Part 3

28 views

6 days ago

Pallence AI
Depthwise Separable Convolutions Explained | Why MobileNet Is So Efficient

Deep Learning Foundations Playlist (start here ...

5:20
Depthwise Separable Convolutions Explained | Why MobileNet Is So Efficient

8 views

2 days ago

Coursesteach
Padding in CNN Explained Simply | Valid vs Same Convolution (With Examples)

Learn how padding works in convolutional neural networks, why it's essential for deep CNNs, and how to implement it with a ...

5:54
Padding in CNN Explained Simply | Valid vs Same Convolution (With Examples)

0 views

4 days ago

ZenITlynX
From Mirror to Mind, From Neurons to MindReading - AI Isn't Magic, It's The Math They Don't Show You

STOP treating AI like magic. It is a mathematical MONSTER. ⚡ We used to build machines to imitate our bodies—levers for ...

50:27
From Mirror to Mind, From Neurons to MindReading - AI Isn't Magic, It's The Math They Don't Show You

15,301 views

5 days ago

AI Depth School
How Images Are Stored In Computers | RGB Matrix & Image Processing Explained

How Images Are Stored In Computers - RGB Matrix & Image Processing Explained DESCRIPTION: Ever wondered what's really ...

18:27
How Images Are Stored In Computers | RGB Matrix & Image Processing Explained

12 views

2 days ago

ByteQuest
Residual Networks (ResNet) Explained Intuitively | Why Deep Networks Fail & How ResNet Fixes It

In this video, we deeply explore Residual Networks (ResNet) and explain why simply adding more layers to a neural network can ...

8:05
Residual Networks (ResNet) Explained Intuitively | Why Deep Networks Fail & How ResNet Fixes It

70 views

2 days ago

Kavishka Abeywardana
RCNN Architecture in 3 minutes!

R-CNN explained from first principles. This video walks through how early object detection systems leveraged convolutional ...

3:05
RCNN Architecture in 3 minutes!

136 views

5 days ago

Professor Rahul Jain
2. Role of Deep Learning in Computer Vision | CNNs, Applications & Real-World Examples Explained

Deep Learning has revolutionized Computer Vision, enabling machines to see, understand, and interpret visual data with ...

10:49
2. Role of Deep Learning in Computer Vision | CNNs, Applications & Real-World Examples Explained

8 views

1 day ago

TeslaTobi
FSD now available on older Teslas! The new Tesla patent explained simply.

In this video, we're diving deep into Tesla's latest patent: US20260017503A1 – "Bit-Augmented Arithmetic Convolution." I'll ...

18:05
FSD now available on older Teslas! The new Tesla patent explained simply.

4,337 views

5 days ago

Coursesteach
Fourier Transform and Convolution in Computer Vision | Frequency Domain Explained

Learn how frequency analysis works in computer vision. This guide explains Fourier transforms, frequency components in images, ...

6:20
Fourier Transform and Convolution in Computer Vision | Frequency Domain Explained

4 views

3 hours ago

Pragmatic VEX | Learn Houdini with VEX!
Pragmatic VEX: Volume 1 - The Manifold of Morphology [Houdini 21]

https://www.pragmatic-vfx.com Pragmatic VEX is a highly planned, highly edited series aimed to increase the technical capacity of ...

1:01
Pragmatic VEX: Volume 1 - The Manifold of Morphology [Houdini 21]

227 views

2 days ago

Shivam Kumar
Difference Between Perceptron, ANN and CNN for image classification

Perceptron vs ANN vs CNN | Image Classification Explained with Accuracy & Loss Comparison In this video, I explain the ...

5:08
Difference Between Perceptron, ANN and CNN for image classification

10 views

1 day ago