What is an input generator?
A mechanism by which data is loaded into a neural network.
input generator explained in plain English
A mechanism by which data is loaded into a neural network. An input generator can be thought of as a component responsible for processing raw data into tensors which are iterated over to generate batches for training, evaluation, and inference.
Example
Practitioners refer to input generator when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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