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Deep Learning Laboratory Record 2023 by BELMER GLADSON Asst. Prof. (CSE) is a document available to read on EtoBox.

A CNN model was developed for character recognition using the CIFAR-10 dataset. The model consists of convolutional and max pooling layers to extract features, followed by dense layers for classification. The model was trained on preprocessed training data for 5 epochs and evaluated on test data, achieving an accuracy of 56.82%.

Author
BELMER GLADSON Asst. Prof. (CSE)
Language
EN