AI / Machine Learning
Handwritten Number Recognition Neural Network
A neural network trained to recognize handwritten digits.
- Python
- TensorFlow
- PyTorch
- Neural Networks
The problem & the solution
Trained on 60,000 handwritten digit images, this neural network learned to classify handwritten numbers, reaching 93.45% accuracy.
Engineering notes
Model architecture (draft)
Draft placeholder — replace with the real technical detail. This section is scaffolding, not a finished engineering writeup.
The network architecture and why it was chosen.
Training process (draft)
Draft placeholder — replace with the real technical detail. This section is scaffolding, not a finished engineering writeup.
How the model was trained and evaluated.
Results
- Accuracy
- 93.45%
- Training images
- 60,000
Engineering lessons
Not written yet for this project.