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You can use CNN on any data, but it''s recommended to use CNN only on data that have spatial features (It might still wo…
The concept of CNN itself is that you want to learn features from the spatial domain of the image which is XY dimension.…
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But if you have separate CNN to extract features, you can extract features for last 5 frames and then pass these feature…
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Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and sub…
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A CNN will learn to recognize patterns across space while RNN is useful for solving temporal data problems. CNNs have be…
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A convolutional neural network (CNN) that does not have fully connected layers is called a fully convolutional network (…
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Why would "CNN-LSTM" be another name for RNN, when it doesn''t even have RNN in it? Can you clarify this? What is your k…
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Visited Taj Mahal in my childhoodwas awed by itrecently visited Dilwara Jain temples in Mount Abu and frankly I was so m…
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