The correct answer is: A. TensorFlow
TensorFlow is an open-source software library for numerical computation using data flow graphs. It was originally developed by researchers and engineers from the Google Brain team within Google’s Machine Intelligence research organization for the purposes of machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
TensorFlow is a symbolic math library that uses data flow graphs to represent mathematical operations. These graphs can be used to represent a wide variety of machine learning models, including neural networks. TensorFlow provides a number of tools for building, training, and evaluating machine learning models.
TensorFlow is a popular choice for deep learning tasks because it is flexible, efficient, and well-supported. It is used by a wide range of companies, including Google, Facebook, and Uber.
Pandas is a Python library that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
NumPy is a Python package that provides fast, efficient numerical computation. It is the fundamental package for scientific computing with Python. NumPy arrays are the basic building blocks of scientific computing with Python, and NumPy provides a large number of functions for manipulating arrays.
Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive statistical graphics. Seaborn makes it easy to create complex visualizations, such as line plots, bar charts, and scatter plots. It also provides a number of features for customizing the appearance of your visualizations.
In conclusion, TensorFlow is the correct answer to the question “Which Python library is often used for deep learning tasks, including neural network construction and training?”. TensorFlow is an open-source software library for numerical computation using data flow graphs. It was originally developed by researchers and engineers from the Google Brain team within Google’s Machine Intelligence research organization for the purposes of machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.