Welcome to the ANNDL Challenges repository! This project is dedicated to exploring various challenges in the field of Artificial Neural Networks and Deep Learning. Here, you'll find two main challenges that focus on different aspects of machine learning.
In this challenge, we tackle the task of image classification using deep learning techniques. The goal is to build a model that can accurately classify images into predefined categories. This challenge involves data preprocessing, model training, and evaluation.
- Key Technologies: TensorFlow, Keras, NumPy, Matplotlib
- Notable Techniques: Data Augmentation, Transfer Learning, Convolutional Neural Networks (CNNs)
For more details, check out the Image Classification Notebook.
The report is available 📄 here 📥.
This challenge focuses on forecasting future values based on historical time series data. The objective is to develop a model that can predict future trends and patterns effectively.
- Key Technologies: TensorFlow, Keras, NumPy, Pandas, Matplotlib
- Notable Techniques: LSTM Networks, Data Preprocessing, Model Evaluation
For more information, visit the Time Series Forecasting Notebook.
The report is available 📄 here 📥.
- Filippo Balzarini filomba
- Francesco Benelle Benels
- Michele Cavicchioli TrueMaicol