This project implements a Convolutional Neural Network (CNN) for classifying 5G network slices (eMBB, mMTC, URLLC) using simulated data. Built entirely in Google Colab, it features dataset generation, training, and visualizations like confusion matrices, ROC curves, and pair plots to analyze model performance and network behavior.

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