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ResNet-8 CIFAR-10 Classifier

This repository implements a ResNet-8 architecture for image classification on the CIFAR-10 dataset using PyTorch.

📚 Description

The CIFAR-10 dataset consists of 60,000 RGB images (32x32 pixels) across 10 classes:

  • Airplane
  • Automobile
  • Bird
  • Cat
  • Deer
  • Dog
  • Frog
  • Horse
  • Ship
  • Truck

🔑 Key Highlights:

  • Implementation of a custom ResNet-8 architecture optimized for CIFAR-10.
  • Training and evaluation pipelines using PyTorch.
  • Visualization of training performance and model predictions.

🛠️ Dependencies

  • Python 3.x
  • PyTorch
  • TorchVision
  • Matplotlib

Install dependencies using:

pip install torch torchvision matplotlib

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