https://github.com/rashiin/ultra-light-image-classifier-70-cifar-10-accuracy-in-minutes
🚀 Ultra-Lightweight Image Classifier | 70% Accuracy on CIFAR-10 in Minutes! ✅ MobileNetV2 + PyTorch| ✅ 10x Faster Training| ✅ Optimized for Low Resource Systems
https://github.com/rashiin/ultra-light-image-classifier-70-cifar-10-accuracy-in-minutes
artificialintelligence computervision datascience imageprocessing machinelearning neuralnetworks pytorch
Last synced: 8 months ago
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🚀 Ultra-Lightweight Image Classifier | 70% Accuracy on CIFAR-10 in Minutes! ✅ MobileNetV2 + PyTorch| ✅ 10x Faster Training| ✅ Optimized for Low Resource Systems
- Host: GitHub
- URL: https://github.com/rashiin/ultra-light-image-classifier-70-cifar-10-accuracy-in-minutes
- Owner: Rashiin
- Created: 2025-02-08T18:16:56.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-08T19:43:18.000Z (8 months ago)
- Last Synced: 2025-02-21T05:16:31.615Z (8 months ago)
- Topics: artificialintelligence, computervision, datascience, imageprocessing, machinelearning, neuralnetworks, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 124 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 🚀 Ultra-Lightweight Image Classifier | MobileNetV2 & PyTorch
Achieve **70% accuracy** on CIFAR-10 in just **minutes** using this **optimized deep learning model**!
🔥 **Super lightweight** | 🔥 **10x faster training** | 🔥 **Perfect for low-resource systems**
## 📌 Features
✅ **Uses MobileNetV2** – A highly efficient & accurate model
✅ **Optimized for Speed** – Uses **only 20%** of CIFAR-10 for training
✅ **Minimal Resource Usage** – Works on CPU & low-end hardware
✅ **Achieves 70%+ accuracy** – While keeping training **super fast**
✅ **Easy to Modify & Extend** – Customizable for your own datasets