Built a convolutional neural network to recognise hand written digits. Used tensorflow, keras and scikit-learn
Used pickle to store weights for future references
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A convolutional neural network for number classification, optimized with dropout layers to reduce overfitting and improve accuracy. Implemented using TensorFlow and Keras, featuring a compact architecture suitable for efficient computation.
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Soorya-Kumar/Digit-Recognition-CNN
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A convolutional neural network for number classification, optimized with dropout layers to reduce overfitting and improve accuracy. Implemented using TensorFlow and Keras, featuring a compact architecture suitable for efficient computation.
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