Evaluate the quality of the machine

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Graphics processing units (GPUs) are typically used to study machine learning problems. A GPU performs 1012 operations per second. A machine contains four GPUs. Each of the GPU makes on average of one mistake per second. A typical face recognition algorithm takes four GPUs two seconds to run. All GPUs function independently.

The run of the algorithm will be considered unstable if at least 3 mistakes are made, Otherwise, it is considered stable. What is the probability of an unstable run of the algorithm?

The algorithm was run repeatedly to evaluate the quality of the machine. How many unstable runs can there be with a 1% chance of final run is stable?

Reference no: EM132232546

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