Question: Explain tensors in TensorFlow.

Answer: Tensors are multi-dimensional arrays, the fundamental building blocks of data in TensorFlow. They represent the input and output data of a computation graph.

Example:

tensor = tf.constant([1, 2, 3])
print(tensor)

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Explain tensors in TensorFlow.