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Answer: Databricks DL (Deep Learning) Runtime
The Databricks DL (Deep Learning) Runtime is the optimal choice for deep learning tasks, including image recognition, due to its inclusion of pre-installed deep learning libraries such as TensorFlow, PyTorch, Horovod, and Keras, along with optimized configurations for GPU and distributed training. While Databricks Runtime provides a general platform for various workloads, it lacks the specialized configurations and libraries for deep learning. Databricks MLlib offers basic support for deep learning but is not as comprehensive, missing key libraries. Databricks NLP, though capable in some image recognition scenarios through pre-trained models, is not tailored for general image processing tasks and lacks the deep learning optimizations found in the DL Runtime.
Author: LeetQuiz Editorial Team
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In the context of a machine learning project focused on image recognition, which Databricks component is specifically designed to offer deep learning capabilities for processing images?
A
Databricks Runtime
B
Databricks NLP
C
Databricks DL (Deep Learning) Runtime
D
Databricks MLlib