Interview Questions and Answers

TensorFlow is an open-source machine learning library developed by the Google Brain team. It is primarily used for building and training deep learning models.

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

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Eager execution is the default mode in TensorFlow 2.x, allowing operations to be executed immediately. It simplifies debugging and provides a more intuitive interface for building models.

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Keras is a high-level neural networks API written in Python. TensorFlow provides an implementation of the Keras API as tf.keras, making it the official high-level API for building and training models in TensorFlow.

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Eager execution allows operations to be executed immediately as they are called, similar to regular Python code. It can be enabled in TensorFlow 2.x by default, or explicitly using tf.compat.v1.enable_eager_execution().

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