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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…
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0 I''m building an object detection model with convolutional neural networks (CNN) and I started to wonder when should o…
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A convolutional neural network (CNN) that does not have fully connected layers is called a fully convolutional network (…
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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A convolutional neural network (CNN) is a neural network where one or more of the layers employs a convolution as the fu…
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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…
Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and sub…
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Suppose that I have 10K images of sizes $2400 \\times 2400$ to train a CNN. How do I handle such large image sizes witho…
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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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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