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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, ...

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

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

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, ...

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: ...

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

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

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

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?

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

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 Mask R-CNN network. What is it? How is it trained? Code for inference! ABOUT ME ⭕ Subscribe: ...

David leads a discussion of Chapter 11 ("Encoders and Decoders") and Chapter 12 ("Decoder-Only Transformers") on ...

Let's talk about Boltzmann Machines RESOURCES [1 ] Main paper: ...

SSRC achieves 200dB stop-band attenuation and AVX-512 accelerated performance, utilizing SleefDFT to deliver speed without ...

So here we are uh spectral convolution 1D layer Um so it is comprised of this uh thing called the self.w weightights Okay And the ...