Keras Model Training API#
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A tf.data.Dataset. Should return a tuple of either (inputs, targets) or (inputs, targets, sample_weights).
A keras.utils.PyDataset returning (inputs, targets) or (inputs, targets, sample_weights).
Target data. Like the input data x, it could be either NumPy array(s) or backend-native tensor(s). If x is a dataset, generator, or keras.utils.PyDataset instance, y should not be specified (since targets will be obtained from x).
Integer or None. Number of samples per gradient update. If unspecified, batch_size will default to 32. Do not specify the batch_size if your data is in the form of datasets, generators, or keras.utils.PyDataset instances (since they generate batches).
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