TensorFlow Interview Questions and Answers
Freshers / Beginner level questions & answers
Ques 1. What is TensorFlow and explain its primary use?
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.
Example:
print(tf.__version__)
Ques 2. Explain tensors in TensorFlow.
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:
print(tensor)
Ques 3. Explain the concept of eager execution in TensorFlow 2.x.
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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Ques 4. What is the Keras API, and how does it relate to TensorFlow?
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.
Example:
Ques 5. What is eager execution and how is it enabled in TensorFlow?
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().
Example:
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