Answer-first summary for fast verification
Answer: TensorFlow
The question asks for a deep learning framework suitable for speech recognition that supports the latest Python version and should be included in the Data Science Virtual Machine (DSVM). TensorFlow (B) is the optimal choice because it is a widely-used, scalable deep learning framework with strong support for speech recognition tasks (e.g., via libraries like TensorFlow Audio). It is regularly updated to support the latest Python versions and is commonly pre-installed or recommended for DSVM due to its integration with Azure Machine Learning. Rattle (A) is a GUI-based tool for data mining in R, not a deep learning framework. Weka (C) is a Java-based machine learning suite, not optimized for deep learning or Python. Scikit-learn (D) is a Python library for traditional ML, not deep learning. The community discussion shows 100% consensus on B, with upvoted comments confirming its correctness.
Author: LeetQuiz Editorial Team
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You plan to develop a speech recognition deep learning model that must support the latest version of Python. Which deep learning framework for speech recognition should you recommend including in the Data Science Virtual Machine (DSVM)?
A
Rattle
B
TensorFlow
C
Weka
D
Scikit-learn
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