Developed a digit recognition model using TensorFlow and Keras. The architecture includes a sequential neural network with ReLU activation. Trained on MNIST (60,000 grayscale digits), the model achieved 98% accuracy in 5 epochs. Demonstrates proficiency in neural network training for digit recognition tasks
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Digit Recognition using MNIST Dataset
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