Below you will find pages that utilize the taxonomy term “CNN”
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Handwritten Digits Classification - CNN
Classification of the handwritten digits (0-9) has been performed using CNN. The data set includes 60,000 training samples and 10,000 testing samples. The dataset is collected from MNIST.
Tensorflow 2.0 is used. The model includes 2 conv, 2 maxpool, 1 dense, 1 dropout layers. Earlystopping is performed. 99% accuracy is achieved. This Project’s GitHub Repository