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Relostar-Devil / Recognition-of-Objects-using-Neural-Networks

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Ever wondered how machines learn to “see”? This project builds a convolutional neural network using TensorFlow and Keras to classify CIFAR-10 images—transforming raw pixels into predictions for airplanes, cars, birds, and more. How does it extract hidden features to distinguish these objects? Discover the magic of deep learning in action.

cnn cifar-10 detection-model inbuilt-dataset
  • Updated Feb 12, 2025
  • Jupyter Notebook

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