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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 ...

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

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

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

In this video, we walk through the back propagation learning procedure in a convolution neural network, step by step. ABOUT ME ...

The research team answers questions about our recent paper “Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, ...

This educational video is part of the course: AI in Architectural Design: Introduction available for free via ...

In this video, we take a look at what the deep layers of a convolution neural network actually learn with some neat visuals.

In this video, we talk through why convolution networks are so effective with image processing. ABOUT ME ⭕ Subscribe: ...

Medical Informatics, Radiomics, and Image Analysis for Computer-Aided Diagnosis Course Code: 2412136 Offered by: ...

Lecture 13: Introduction to Convolutional Codes Topics covered: Introduction to Convolutional Codes Instructor: Prof.

In this video, we will explore the essential steps for preparing input data for Conv1D layers in Keras, a powerful deep learning ...

In this video, we take a look at R-CNN (regions with convolution features). We see how training and inference occurs. ABOUT ME ...

Lecture 05: Introduction to Binary Block Codes Topics covered: Introduction to Binary Block Codes Instructor: Prof. David Forney ...

Lecture 14: Introduction to Convolutional Codes Topics covered: Introduction to Convolutional Codes Instructor: Prof.

In this video I continue with our talk about the two basic approaches that you can use to represent word order for processing text ...

In this video, we take a look the inception network architecture. What is it? What does it look so funky? How do we code it out?

Lecture 18: Codes on Graphs Topics covered: Codes on Graphs Instructor: Prof. David Forney Source: OCW MIT - Massachusetts ...

In this video, we take a look the Mask R-CNN network. What is it? How is it trained? Code for inference! ABOUT ME ⭕ Subscribe: ...

In this video, we will explore the concept of zero padding in Keras convolutional layers, a crucial technique for enhancing the ...