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Image Recognition Web Application with TensorFlow and Streamlit

This web application enables image recognition using neural networks for various datasets such as Fashion MNIST, CIFAR-10, and MNIST. It provides various actions, including retraining the model, testing images, and guidelines for usage. It is based on TensorFlow for the neural network and Streamlit for the user interface.
Scientific Area:
Learning
Language/Environments:
Python
Target Group:
Basic
Keywords:
Supervised, Classification, Prediction, Neural Networks
Code:
https://github.com/aipereira/iMath_Public/tree/main/Applet/HAMBURG
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