Neural Networks for Handwriting Recognition Report Writing - IT Computer Science Assignment Help

Assignment Task

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Assessment Task:

Neural Networks for Handwriting Recognition:

As an alternative assignment, which requires no programming or simulation, you can write a report on 'Neural Networks for handwriting recognition'. It should include details of the NNs used, and the features that are input to the network. Also, please include both historically and current, the use of different neural networks for the application and the respective advantages/disadvantages. You should include historical survey, state of the art, case studies (two or three), and what can be expected in the future. The history should also cover technical/theoretical developments from its early beginnings up to the present day. For example, what is the difference between off-line and on-line recognition, and what recognition rates are currently attainable. The examples or case studies could be from industry, and should include both neural network technique and practical application, describing how the problem has been solved. 

For the appropriate level of writing, imagine you are consultant for a company, presenting a report to an audience that is technical but not necessarily expert on all aspects of neural networks. 

(At the beginning of your report please include 1) the word count of the total document excluding Exec Summary, References and Appendices and 2) word count of Exec Summary.

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