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TensorFlow Interview Questions and Answers

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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