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, comprehensive deep learning framework with strong support for speech recognition tasks through libraries like TensorFlow Audio and integration with Keras. It is regularly updated to support the latest Python versions and is commonly pre-installed or recommended for DSVM. Community discussion shows 100% consensus on B, with upvoted comments confirming its correctness. Rattle (A) is a GUI-based tool for data mining in R, not a Python deep learning framework. Weka (C) is a Java-based machine learning suite, not optimized for deep learning or Python. Scikit-learn (D) is a general machine learning library but lacks native deep learning capabilities and is not specialized for speech recognition.
Author: LeetQuiz Editorial Team
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You are planning 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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