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https://github.com/mohankrishnagr/cpu-vs-gpu-resnet50-training-cifar10

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.
https://github.com/mohankrishnagr/cpu-vs-gpu-resnet50-training-cifar10

cifar-10 cpu-vs-gpu deep-learning gpu-acceleration hpc keras machine-learning python resnet tensorflow

Last synced: 14 days ago
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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.

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