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2 cards from this section. Quick, good the night before a test.
What is needed for training deep learning models effectively?
Think about what kind of hardware processes tasks quickly.
Why is real-time inference critical in robotics?
Consider what happens if the robot does not respond quickly.
What is a primary requirement for training deep learning models?
Think about what hardware is typically used.
True or False: Real-time inference is not critical for robotics.
Consider what happens in construction scenarios.
Consider a construction site where a robot must avoid obstacles while laying bricks. Discuss the computational constraints related to data processing and inference for the robot to operate effectively.
Reflect on both the data volume and the speed of decision-making.
Evaluate how cloud computing could address the challenges of high computing power requirements for deep learning model training in civil engineering.
Think about the benefits of not having to invest heavily in local hardware.
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