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16 results
In this video, we take a look 1x1 convolutions (point wise convolutions) and demonstrate what they are, why they are useful, ...
983 views
4 months ago
In this video I turn to some techniques to analyze convolutional network layers. A problem with many machine learning methods in ...
22 views
8 months ago
In this video, we take a look at depthwise separable convolutions. What is it? How does it work? Why do it? Code included!
1,196 views
2 months ago
Abstract: A shifted convolution problem seeks an asymptotic formula for sums involving the product of two arithmetic functions ...
143 views
3 weeks ago
In this video, we dive into the fundamental concepts of convolution and its pivotal role in Convolutional Neural Networks (CNNs).
1 view
Solving an equation containing a convolution integral I hope you found a solution that worked for you :) The Content is licensed ...
0 views
Recorded 20 May 2025. Tudor Manole of the Massachusetts Institute of Technology presents "Sharp Deconvolution of Optimal ...
472 views
9 months ago
When the recognition classes are increased from 11 to 17, the convolutional neural network returns Value Error. Keras? Helpful?
11 views
3 days ago
In this video, we take a look at R-CNN (regions with convolution features). We see how training and inference occurs. ABOUT ME ...
2,314 views
5 months ago
Zero padding in the Middle of the Signal before convolution with FFT? Helpful? Please use the *Thanks* button above! Or, thank ...
7 views
2 weeks ago
Using a convolution neural network with a non-image input Helpful? Please use the *Thanks* button above! Or, thank me via ...
5 views
☕Buy me a virtual coffee: https://ko-fi.com/valerio_afk In this video, we tackle and solve step-by-step an exercise from the ...
486 views
6 days ago
Overview In this video, we explore how a Convolutional Neural Network (CNN) classifies an image step-by-step. You'll learn how ...
2 views
4 days ago
Welcome to Swayam Prabha Subject: Electrical Engineering Course Name: An Introduction to Coding Theory Name of ...
Overview These materials clarify the critical role of hyperparameters in optimizing the performance of machine learning and ...
Alex Brandsen, Iris Kramer, Wouter Verschoof-van der Vaart For over two decades there have been sporadic presentations of ...
54 views
7 months ago