Hand Digit Recognition Using Convolutional Neural Network(CNN): #2 #50
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sanjay-kv
approved these changes
Jun 1, 2024
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Added Hand Digit Recognition model which is used to identify digits (0-9) from images of handwritten digits using Convolutional Neural Network. The model is trained on datasets like MNIST.
The model uses a convolutional neural network (CNN) architecture with multiple convolutional and pooling layers to extract features from 28x28 pixel images. It utilizes ReLU activation, Adam optimizer, and sparse categorical crossentropy loss for digit recognition.