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Implemented a convolutional neural network (CNN) using TensorFlow and PyTorch for handwritten digit recognition on the MNIST dataset. Preprocessed data including grayscale conversion, resizing, and pixel normalization. Achieved 90% accuracy with the LeNet-5 architecture, optimized using the Adam optimizer.

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Implemented a convolutional neural network (CNN) using TensorFlow and PyTorch for handwritten digit recognition on the MNIST dataset. Preprocessed data including grayscale conversion, resizing, and pixel normalization. Achieved 90% accuracy with the LeNet-5 architecture, optimized using the Adam optimizer.

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