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Unlock the power of convolution — one of the most fundamental operations in signal processing, image processing, and AI.

Convolutional Code is explained with the following timecodes: 0:00 – Convolutional Encoder 2:05 – Constraint Length K 2:41 ...

Curious about how convolutional autoencoders work? In this visually explained video, we'll break down the concept for you using ...

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

Ambient Backscatter Communication (AmBC) is a low power communication technique that reflects or absorbs the ambient signal, ...

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

Hey everyone, In this video, we break down the 2012 breakthrough that reshaped computer vision and kicked off the deep ...

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 ...

Every line of python code explained for a face recognition case study by a Data Scientist. First the algorithm is explained in depth ...

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

Ever struggled with convolutions and convolutional neural networks (CNNs)? You're not alone! Most tutorials dive straight into ...

This video uses a pasta machine to show how neural networks work. Each time a photo goes through the machine, it becomes ...

**types of convolutional codes** 2.1. **rate 1/2 convolutional code** a rate 1/2 convolutional code takes one input bit and ...

Model Paper & PDF Notes : https://drive.google.com/drive/folders/1GYSTmOZJ8Js_1f65Ghf-pzZNkFSGwPfy?usp=sharing 5th ...

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander ...

Understanding how a simple line of code like nn.conv2d actually works is one of the most important steps for any computer vision ...