Explain tensorflow optimizing for cpu?
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Answer / Vikas Somvanshi
TensorFlow provides various options to optimize models for CPU. One of the most common methods is using static computational graphs, which can be executed on a single thread on the CPU. Another method is to use lower-level APIs like EagerExecution or TF Lite, which are designed to run efficiently on CPUs. Furthermore, TensorFlow allows you to customize your model architecture and choose specific operations that are optimized for CPUs.
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