This project involves creating a neural network to classify images in the CIFAR-10 dataset with high accuracy.
- Data preprocessing and augmentation.
- Training a convolutional neural network (CNN).
- Model evaluation and fine-tuning.
- Programming Language: Python
- Frameworks: PyTorch, TensorFlow
- Develop hands-on expertise with PyTorch and TensorFlow.
- Build a robust image classification model.