One of the most important distinctions to make with data is whether it is a placeholder or a variable. Variables are the model parameters of the algorithm, and TensorFlow keeps track of how to change these to optimize the algorithm. Placeholders are objects that allow you to feed in data of a specific type and shape, or that depend on the results of the computational graph, such as the expected outcome of a computation.
Getting ready
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