Before revision:  We will use two versions of the code, in TensorFlow and PyTorch respectively, to demonstrate the use and effectiveness of this methodology , and some insights will be highlighted on how the application utilizes the compute and memory capabilities on the GPU and how the implementation and performance differs in two deep learning frameworks.
After revision:  We use two versions of the code, in TensorFlow and PyTorch respectively, to demonstrate the use and effectiveness of this methodology , and some insights will be highlighted on how the application utilizes the compute and memory capabilities on the GPU and how the implementation and performance differs in two deep learning frameworks.