https://github.com/lucalullo/image-classification-deep-learning

Comparative study of CNN and FNN deep learning models for multi-class image classification
https://github.com/lucalullo/image-classification-deep-learning

benchmark cnn computer-vision deep-learning fnn image-classification jupyter-notebook kaggle keras neural-network tensorflow

Last synced: 5 months ago
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Comparative study of CNN and FNN deep learning models for multi-class image classification

• Host: GitHub
• URL: https://github.com/lucalullo/image-classification-deep-learning
• Owner: lucalullo
• License: mit
• Created: 2026-01-01T16:26:54.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2026-01-01T16:32:49.000Z (5 months ago)
• Last Synced: 2026-01-06T21:59:38.488Z (5 months ago)
• Topics: benchmark, cnn, computer-vision, deep-learning, fnn, image-classification, jupyter-notebook, kaggle, keras, neural-network, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 659 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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# Image Classification — Deep Learning Models (CNN vs FNN)

Confronto tra due approcci di deep learning per la classificazione di immagini:

- Convolutional Neural Network (CNN)

- Feedforward Neural Network (FNN)

## 📊 Notebook di analisi

- [CNN model](notebooks/cnn_model.ipynb)

- [FNN model](notebooks/fnn_model.ipynb)

## Obiettivi

- Confrontare performance e comportamento dei modelli

- Evidenziare i vantaggi delle architetture convoluzionali

- Fornire un benchmark didattico di computer vision

## Tecnologie

- Python

- TensorFlow / Keras

- NumPy

- Matplotlib

- Jupyter Notebook

## Autore

Luca Lullo