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neural-network-model

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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.

  • Updated Oct 3, 2023
  • Python

Develop a tool in Google Colab using machine learning and neural networks to select applicants for funding with the best chance of success based on the source data provided by the organization.

  • Updated Apr 2, 2024
  • Jupyter Notebook

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