Aditya Rohilla • 4/11/2020

Comparative Case Study of ML Systems: Tensorflow vs PyTorch

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This article provides a detailed comparative case study of TensorFlow and PyTorch, focusing on their core architectural designs as described in their foundational academic papers. It examines TensorFlow's data flow graphs, high GPU utilization, community support, mobile interfaces, and large-scale ML capabilities, contrasting them with PyTorch's imperative style. The analysis aims to explain how each system processes models to become industry standards for solving complex machine learning problems.

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#Machine Learning #Deep Learning #Tensorflow
Comparative Case Study of ML Systems: Tensorflow vs PyTorch

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