Question: What is the purpose of the tf.distribute.Strategy in TensorFlow?Answer: tf.distribute.Strategy is used for distributed training in TensorFlow. It allows you to efficiently train models across multiple GPUs or devices, improving training speed and scalability.Example: strategy = tf.distribute.MirroredStrategy() with strategy.scope(): model = tf.keras.Sequential([...]) |
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