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CNN Fundamentals 1- Why and How Depth wise Separable Convolution Works? 

KGP Talkie
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Depthwise Separable Convolution - The technique of depthwise separable convolution was introduced in the paper "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" by Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam, published in 2017.
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2 авг 2024

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Комментарии : 5   
@arjonnill4227
@arjonnill4227 29 дней назад
The explanation was really easy to grasp
@KGPTalkie
@KGPTalkie 29 дней назад
Thanks
@namansinghal3685
@namansinghal3685 3 месяца назад
The only video which explains this topic properly
@KGPTalkie
@KGPTalkie 3 месяца назад
Please do watch other videos in this Playlist. I have recently covered attention paper as well.
@mat7856
@mat7856 8 месяцев назад
very good explanation of rationale behind
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