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    What are two types of continuous variables? (Choose two ) discrete nominal ordinal ratio interval Explanation: Variables are either categorical or numerical Categorical variables are qualitative and are either nominal or ordinal Numerical variables are quantitative and are either continuous or discrete Continuous variables are measured along a range of values and are either interval or
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    As CNN contains convolution operation, but DNN uses constructive divergence for training CNN is more complex in terms of Big O notation For reference: See Convolutional Neural Networks at Constrained Time Cost for more details about the time complexity of CNNs See What is the time complexity of the forward pass algorithm of a neural network? and What is the time complexity for training a
  • How can neural networks deal with varying input sizes?
    Whereas the original question is fairly open-ended, the answers focus primarily on NLP However, I stumbled on this question while looking how to do variable size image inputs for a CNN Variable size inputs are indeed possible for a convolutional approach - albeit with some caveats, and the stats stackexchange link above explores that related, alternate line of inquiry
  • How do I handle large images when training a CNN?
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