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调用 TensorFlow Keras 模型时,“training=True”是什么意思?

在 TensorFlow 的官方文档中,它们总是training=True在训练循环中调用 Keras 模型时通过,例如logits = mnist_model(images, training=True).

我试过了help(tf.keras.Model.call),它表明

Help on function call in module tensorflow.python.keras.engine.network:

call(self, inputs, training=None, mask=None)
    Calls the model on new inputs.

    In this case `call` just reapplies
    all ops in the graph to the new inputs
    (e.g. build a new computational graph from the provided inputs).

    Arguments:
        inputs: A tensor or list of tensors.
        training: Boolean or boolean scalar tensor, indicating whether to run
          the `Network` in training mode …
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