Answer Posted / Shiv Prasad Shukla

TPU (Tensor Processing Unit) and GPU (Graphics Processing Unit) are hardware devices specifically designed to accelerate machine learning tasks. TPUs are developed by Google, while GPUs are produced by various manufacturers like NVIDIA, AMD, and Intel. They are needed due to their ability to perform matrix operations more efficiently than CPUs (Central Processing Units). This speed-up is crucial for deep learning models that involve significant amounts of computation, especially during training phases.

What are the apis outside tensorflow project?

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