Assignements and exercises for the "Machine Learning for IoT" course at Politecnico di Torino (AY 2021/2022)
Credits for the text of the exercises to Andrea Calimera and Valentino Peluso - teacher and teaching assistants of the course.
Homework carried out with Gabriele Rosi and Fabio Tecco.
| Number | Topic | File(s) |
|---|---|---|
| 01 | TFRecord and audio preprocessing optimization | link |
| 02 | Multi step temperature/humidity forecasting and keyword spotting | link |
| 03 | Model Registry and Edge-Cloud Collaborative Inference | link |
| Number | Date | Topic | File(s) |
|---|---|---|---|
| 01 | 2021/10/19 | DHT11 Sensor (Temperature and Humidity) & Microphone | link |
| 02 | 2021/10/26 | Audio Preprocessing (STFT + MFCC) | link |
| 03 | 2021/11/9 | Temperature/Humidity Forecasting and Keyword Spotting with Keras | link |
| 04 | 2021/11/9 | Optimization | link |
| 05 | 2021/11/9 | CherryPy & REST | link |
| 06 | 2021/11/9 | MQTT | link |