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Implementation of a DenseNet model and observation of the gradients with different types of saliency maps

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DenseNet-SaliencyMaps

The project has been done as Homework for the course "Neural Networks for Data Science and Applications" from Sapienza - Università di Roma in the academic year 2023/2024.

The aim of the project is to train a Deep Learning model and observe the effect of the gradients on the data.

In order to do that, three different kinds of Saliency Maps are applied.

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Implementation of a DenseNet model and observation of the gradients with different types of saliency maps

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