It takes in two required arguments. Sometimes we need to resize the image as for data augmentation.
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The original images decoded data and the new size of the image which is a tuplelist of two integers representing new_height and new_width in that order.
. Consider mathcalF the class of functions that a specific network architecture together with learning rates and other hyperparameter settings can reachThat is for all f in mathcalF there exists some set of parameters eg weights and biases that can be obtained through training on a suitable dataset. The function we use for resizing pixel data is tensorflowimageresize_images. Let us assume that f is the truth.
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