File size: 1,202 Bytes
dd798fd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
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
---
## ✅ 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.
---
## 📊 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.
---
## 🔑 Key Points
- Reproducible φ-loss benchmark.
- Fully local inference, no cloud.
- Open pilot opportunities.
---
**Built & tested by Luigi Calcagno**
Contact: lcalcagno1@yahoo.com
|