An organization wants to use an open source library with a flexible ecosystem of tools to create and train its own machine learning models. Which product or solution should the organization use?
D. TensorFlow
TensorFlow is widely used for both deep learning and traditional machine learning tasks and has a rich ecosystem for model development, including pre-built models and utilities for model training, evaluation, and deployment.
D: TensorFlow is an open-source machine learning library developed by Google. It provides a comprehensive, flexible ecosystem of tools, libraries, and community resources that let researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications. TensorFlow supports deep learning along with a suite of tools for model building, training, and deployment, making it ideal for a wide variety of machine learning applications across different platforms and languages.
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