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language: [hi, ta, bn, kn]
tags: [image-classification, handwriting-recognition, indian-scripts, pytorch]
license: mit
---
# Multi-Script Router — T3.7
A compact CNN (~330k parameters) that classifies handwritten characters
into **four Indian scripts**: Devanagari, Tamil, Bengali, and Kannada.
## Architecture
- 3 × ConvBlock (residual skip connections)
- Global Average Pooling → FC 128 → 256 → 4
- Input: 32×32 grayscale
## Training
| Metric | Value |
|--------|-------|
| Best val acc | 78.36% |
| Test acc | 83.16% |
| Epochs | 15 |
| Batch size | 128 |
| Optimizer | AdamW + CosineAnnealing |
## W&B Run
Training logged at: <https://wandb.ai/models-iiit-hyderabad6183/mnist>
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