GitHub / Mayurd9 / CNN-from-scratch

This is the Convolutional Neural Network (CNN) implementation with a single convolution layer from scratch using Numpy library. The image dataset on which classification is done is MNIST. It is able to classify with more than 97% classification accuracy after training for just 1 epoch.

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PURL: pkg:github/Mayurd9/CNN-from-scratch

Topics: cnn, cnn-from-scratch, convolutional-neural-networks, deep-learning, machine-learning, mnist-classification, numpy, python3

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