TensorFlow 面试题与答案
Question: What is transfer learning, and how is it implemented in TensorFlow?Answer: Transfer learning is a technique where a pre-trained model is used as the starting point for a new task. In TensorFlow, this can be achieved using the tf.keras.applications module.Example: base_model = tf.keras.applications.MobileNetV2(weights='imagenet', include_top=False) |
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