GitHub / SCASTELLANO6044 / TFT-AI

This project uses TensorFlow to implement a Convolutional Neural Network (CNN) for image classification. The goal is to classify skin lesion images into different categories. The dataset used is HAM10000, which contains skin lesion images with associated metadata. The actual accuracy of the model is 90%. 🚀🚀

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SCASTELLANO6044%2FTFT-AI

Topics: cnn, cnn-classification, deep-learning, ham10000, image-classification, skin-cancer-classification, skin-cancer-detection

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