---
license: other
license_name: other
license_link: LICENSE
tags:
- tinyml
- edge-ai
- cifar100
- cnn
---

# φNet Tiny — Technical Proof One-Pager

Inventor: Luigi Calcagno  
📧 lcalcagno1@yahoo.com  
Patent-pending φ-loss + Tiny CNN for True Edge Inference

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## ✅ What This Shows

φNet Tiny is a custom convolutional neural network with:
- Proprietary φ-loss function for tail-class lift.
- Real ONNX → TensorFlow → TFLite flow.
- Proven microcontroller-friendly footprint.

Tested vs MobileNetV2 using real CIFAR-100 sample.

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## 📊 Combined Results

Sample: torch.Size([1, 3, 32, 32])  
Label: 49 (CIFAR-100)

| Metric | φNet Tiny | MobileNetV2 |
|--------|------------|--------------|
| Param Size | 0.1148 MB | ~13.37 MB |
| TFLite Size | 117.52 KB | Not feasible |
| φ-loss Output | 4.5335 | N/A |
| Inference Time (10 runs) | ~0.0094 s | ~0.0785 s |

✅ φNet Tiny deploys `.tflite` ~117 KB — runs on STM32, ESP32, Pi Zero.  
❌ MobileNetV2 cannot run at MCU scale.

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## 🔑 Key Points

- Reproducible φ-loss benchmark.
- Fully local inference, no cloud.
- Open pilot opportunities.

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**Built & tested by Luigi Calcagno**  
Contact: lcalcagno1@yahoo.com