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C++ 17 Spectrogram based on Apple's Accelerate and Metal frameworks;
A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
This repository contains a Python script to compare the training performance of a ResNet50-like model on the CIFAR-10 dataset using CPU and GPU. The project evaluates and visualizes the training time differences between the two devices, providing insights into the computational advantages of using GPUs for deep learning tasks.
we compare results from CPU with GPU here. playground is tensorflow