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If we have a dataset of 5 0 0 0 2 8 X 2 8 grayscale images and we represent this using a 3 D

If we have a dataset of 500028 X 28 grayscale images and we represent this using a 3D tensor
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The second axis of this tensor would be the batch axis, indicating the number of samples in the batch for training a deep learning model
The first axis of this tensor would be the batch axis, indicating the number of samples in the batch for training a deep learning model
The data type (dtype) of this tensor would be equal to the number of samples in the batch for training a deep learning model
The 'shape' attribute of a tensor object, queried in Python using '.shape', would equal the number of samples in the batch for training a deep learning model

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