Your Team Is Building a Convolutional Neural Network (CNN)-Based Architecture

question 23

Multiple Choice

Your team is building a convolutional neural network (CNN) -based architecture from scratch. The preliminary experiments running on your on-premises CPU-only infrastructure were encouraging, but have slow convergence. You have been asked to speed up model training to reduce time-to-market. You want to experiment with virtual machines (VMs) on Google Cloud to leverage more powerful hardware. Your code does not include any manual device placement and has not been wrapped in Estimator model-level abstraction. Which environment should you train your model on?

• A) AVM on Compute Engine and 1 TPU with all dependencies installed manually.
• B) AVM on Compute Engine and 8 GPUs with all dependencies installed manually.
• C) A Deep Learning VM with an n1-standard-2 machine and 1 GPU with all libraries pre-installed.
• D) A Deep Learning VM with more powerful CPU e2-highcpu-16 machines with all libraries pre-installed.

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Definitions:

Direct Labor Hours

The total hours of labor directly involved in the manufacturing or production process of goods and services.

Overhead Allocation

The process of distributing indirect costs to cost objects such as products, services, or departments.

Departmental Overhead Rate

The allocation of indirect costs to specific departments based on relevant activity bases, such as labor hours or machine hours, to more accurately assign costs.

Direct Labor Hours

The total hours worked by employees directly involved in manufacturing a product or providing a service.