A data scientist uses DLPy to fine-tune ResNet-50 for medical image classification. The model.fit() call uses the ImageTable class. What SAS infrastructure must be available for DLPy image model training?
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Short Explanation and Infographic
Here's the deal — b is correct because DLPy is a Python deep learning API that communicates with SAS Viya's Cloud Analytic Services (CAS) via the swat Python package. All model training, GPU computation, and data management happen on CAS workers (which may include GPUs).
Full explanation below image
Full Explanation
B is correct because DLPy is a Python deep learning API that communicates with SAS Viya's Cloud Analytic Services (CAS) via the swat Python package. All model training, GPU computation, and data management happen on CAS workers (which may include GPUs). DLPy itself is just a Python API layer. A (SAS 9.4) does not support DLPy or CAS-based deep learning. C is wrong; DLPy training runs on CAS workers, not the SAS Studio compute server. D is wrong; SAS Enterprise Miner uses a different neural network node, not DLPy.