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1. Introduction

This is a simple image classification project developed using Tensorflow and Keras, I used a model that was created by machine learning experts and that has already been trained on a large dataset (mobilenet). To avoid overfitting I perfomed multiple random operations on the training images (zoom, horizontal_flip ...) so that the model never sees the exact same image twice.

2. Training

3. Accuracy Curve

4. Predictions

5. Confusion Matrix

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