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: 7 months 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.
- Host: GitHub
- URL: https://github.com/mohankrishnagr/cpu-vs-gpu-resnet50-training-cifar10
- Owner: MohanKrishnaGR
- Created: 2025-01-22T21:31:31.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-22T21:45:29.000Z (9 months ago)
- Last Synced: 2025-03-19T03:16:29.928Z (7 months ago)
- Topics: cifar-10, cpu-vs-gpu, deep-learning, gpu-acceleration, hpc, keras, machine-learning, python, resnet, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 24.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0