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 |