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DL Paper Presentation Final 1 by naineshmarde9404 is a document available to read on EtoBox.

The research paper on Handwritten Digit Recognition explores the challenges of interpreting human-written digits and compares the performance of different algorithms, including CNN, MLP, and SVM. The findings indicate that CNN achieved the highest accuracy of 99.31%, making it the most reliable model for practical applications in sectors like banking and healthcare. The study emphasizes the importance of data preparation and the need for efficient algorithms to minimize errors in digit recognition.

Author

naineshmarde9404

Language

EN