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Artificial Neural Networks and Deep Leaning Projects 2023/2024

Projects realized for the "Artificial Neural Network and Deep Learning" course at Politecnico di Milano.

Team members

Tutor: Prof. Matteo Matteucci
Group's name: HacquaPC
Final grade: 10/10

Python Keras TensorFlow

Project 1

Topic: Image Classification
The aim of this project was to create a robust classification model for plants, distinguishing between their health statuses categorized as either healthy or unhealthy. This involved analyzing plant images with precision to accurately predict their health condition.

Project 2

Topic: Time Series Forecasting
This project centers around the creation of predictive models designed to forecast future data points within time series. Its primary objective is to develop forecasting models adept at leveraging past observations to accurately predict forthcoming values.


To delve into the development details of the two projects, a report is provided for each of them in their respective root folder.

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