2D Convolution Neural Network Animation

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#2DCNN #ConvolutionNeuralNetwork #Deep Learning
This video shows the complete architecture of 2d cnn through animation

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At time stamps 1:23 to 1:28 the output of the second convolution would be 61x61x3 instead of 61x61x4 and the output of the second maxpool would be 30x30x3 instead of 30x30x4. Thank @sunnivasteiro532 for identifying that

anujshah

I loved the animation. Would be quite helpful for teaching. I wish I had seen it 2 years ago when you posted it!

TestMyHomeChannel

This is a great animation to explain CNN neural network. Could I cite and show your Youtube video in my presentation in a medical related conference meeting? I will show the audience the Youtube link.

caiyu

Hi, The animation is so good we can understand what is happening in the cnn network
currently there is one more new network called Involution neural network which is location specific and channel agnostic where as cnn is channel specific and spatial agnostic

so can you do a animation on inn also please..

SreyaB-rlqd

superb video, I just want to ask one question, initially when models starts training on dataset which values are present inside kernels? for ex. for the first conv layer we are just writing the kernel size as 96 filters of matrix 11*11 but in actual using which values we are comparing image pixels with kernel ?

kuldeeppawar

What filters did you use in the two Convolutional sessions ?

satou-mpfr

Superb video, gave me a lil more clarity...

Can you please tell which animation tool you use?

tintintintin

Nice video, should the second convolution layer be 61x61x3 rather than 61x61x4? Since you applied 3 filters? I am new to CNNs

sunnivasteiro

Thanks for a great video. May I ask you a question? Four small matrices at the left corner in the convolution operation slide are Kernel filters, right? So are they different? If yes, what's that difference?

Thanhnhon

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