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NCE Journal of Science and Engineering, Volume I, Issue I, February 2020, ISSN: 27174794Deep Learning Based Handwritten Signature Recognition Suresh Pearl a, Santosh Girl b, Subarea Shaky ac a, b,

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What is deep learning based handwritten?

Deep learning based handwritten refers to the utilization of neural networks and algorithms to recognize and interpret handwritten text or characters.

Who is required to file deep learning based handwritten?

Individuals or organizations that are developing or using deep learning systems for handwritten recognition are required to file deep learning based handwritten.

How to fill out deep learning based handwritten?

To fill out deep learning based handwritten, one must input the handwritten data into the deep learning model or algorithm, train the system to recognize the patterns, and test its accuracy.

What is the purpose of deep learning based handwritten?

The purpose of deep learning based handwritten is to automate the process of recognizing and interpreting handwritten text, making it easier and more efficient to process large amounts of handwritten data.

What information must be reported on deep learning based handwritten?

The information reported on deep learning based handwritten may include the accuracy rates of the recognition system, the training data used, any preprocessing techniques applied, and the performance metrics achieved.

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