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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 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 at depthwise separable convolutions. What is it? How does it work? Why do it? Code included!

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

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 will dive into the world of deep learning by building a Convolutional Neural Network (CNN) using Azure Machine ...

In this video, we tackle a common issue faced by many when working with convolutional neural networks: the negative dimension ...

How can breaking a problem into smaller parts lead to massive efficiency gains in the DFT? In this final lecture of a four-part series ...

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

Alex Brandsen, Iris Kramer, Wouter Verschoof-van der Vaart For over two decades there have been sporadic presentations of ...

Download my FREE Mixing Cheat Sheet: https://bit.ly/2N3vp6K Become a member and get access to the samples I showed in ...

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 ...

Hey there prematrics welcome to Edu-cate in this video we will be doing the non-conventional energy sources which are the ...