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JWST: Unlocking the Universe with Deep Learning #85

@Varunshiyam

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@Varunshiyam
  • This deep learning project utilizes a convolutional neural network (CNN) to analyze and classify astronomical 🪐 images captured by the James Webb Space Telescope 🔭. The model is trained on a vast dataset of labeled images, enabling it to identify and categorize various celestial objects ☄️, such as galaxies 🌌, nebulae, and stars ✨, with high accuracy.

  • Kindly Assign me this Issue Under GSSOC, hacktoberfest

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