Probabilty setup

…cript + Tailwind)

Add torchvision dataset cache to .gitignore

Update Web page

- Added package.json with dependencies for Next.js, React, and Tailwind CSS.
- Created postcss.config.mjs for Tailwind CSS integration.
- Added SVG assets for icons and logos in the public directory.
- Configured TypeScript with strict settings and Next.js support in tsconfig.json.

…d FastAPI backend

…e loss surface

Adding Linear Regression Web Pages

…ntend integration

…ontend

…n Chinese

…, and model checkpointing

feat: Add diagnostic script to verify preprocessing outputs for MNIST dataset

feat: Create a diagnostic tool to test web predictions and identify issues in the prediction pipeline

chore: Add .gitignore for model files in the backend/models directory

test: Add comprehensive tests for CNN module functionality and prediction accuracy

test: Implement tests for MNIST API predictions with real images

feat: Create a training script for CNN model on MNIST dataset

feat: Develop a React component for CNN digit recognition with drawing canvas and prediction display

- Moved all CNN-related files to the backend/cnn/ directory, including model, predictor, trainer, and test scripts.
- Deleted old test scripts (test_cnn_module.py, test_mnist_api.py, train_cnn.py) and replaced them with refactored versions in the new directory structure.
- Updated import paths and adjusted file references to ensure compatibility with the new structure.
- Added diagnostic scripts for preprocessing and web issue diagnosis.
- Created comprehensive documentation including a quick start guide and a detailed checklist for refactoring completion.
- Verified functionality through extensive testing, achieving 100% accuracy in API tests and successful module tests.

Web page