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neural-network-model

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smhasandanish / MNIST-GAN-Image-Generator

This project uses a Generative Adversarial Network (GAN) to create synthetic images of handwritten digits from the MNIST dataset. By training the GAN, it learns to generate digit images that closely resemble real handwritten digits. These generated images can be valuable for data augmentation, image synthesis, and various computer vision tasks.

computer-vision generative-adversarial-network neural-network-model

Updated Oct 3, 2023
Python

aaolcay / save_load_NN_model

This repository includes the model code for saving and loading neural network model trained

serialization neural-network save-model model-creation evaluate-models load-model neural-network-model load-weights

Updated Jun 7, 2023
Python

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