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What is the main focus of Convolutional Neural Networks (CNN)?
Why are Convolutional Neural Networks (CNNs) used instead of Feed-Forward Neural Nets for image data?
What is the primary aim of Computer Vision?
In which field of application are Convolutional Neural Networks (CNNs) influential?
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What type of data is specifically dealt with by Convolutional Neural Networks (CNNs)?
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What is the purpose of applying Convolutional Neural Networks (CNNs) to visual data?
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What is the benefit of using CNNs over Feed-Forward Neural Nets for image data?
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Why were computers before GPUs unable to process large amounts of image data within a reasonable time?
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How do convolutional neural networks process images as opposed to feedforward neural networks?
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In which application can CNNs be useful for identifying unique facial features and comparing collected data with existing records?
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What is one valuable application of CNNs in medical imaging?
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How does CNN benefit document analysis?
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What was a limitation of computers before GPUs in processing large amounts of image data?
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How does CNN handle image data complexity compared to Feed-Forward Neural Nets?
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