VGG-16 Architecture Visually Explained
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VGG-16 Architecture Visually Explained
In this video, we break down the VGG-16 convolutional neural network architecture layer by layer. We cover convolutions, pooling, activation functions, and using DropOut and SoftMax. Link for the animation codes:- https://github.com/ByteQuest0/Animation_codes/tree/main/2025/VGG16 Links for Important videos :- CNN 24 Min Video:- https://youtu.be ...
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