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Posted 5 Dec 2006

Neural Network for Recognition of Handwritten Digits

, 5 Dec 2006
A convolutional neural network achieves 99.26% accuracy on a modified NIST database of hand-written digits.
#if !defined(AFX_WNDGRAPHICMSE_H__68A13782_32AC_4A66_B46A_3D3475E7CA82__INCLUDED_)
#define AFX_WNDGRAPHICMSE_H__68A13782_32AC_4A66_B46A_3D3475E7CA82__INCLUDED_

// diable warning C4284: return type for 'std::deque<double,class std::allocator<double> >::const_iterator::operator ->'
// is 'const double *' (ie; not a UDT or reference to a UDT.  Will produce errors if applied using infix notation)

#pragma warning( push )
#pragma warning( disable:4284 )

#include <deque>

using namespace std;

#if _MSC_VER > 1000
#pragma once
#endif // _MSC_VER > 1000
// WndGraphicMSE.h : header file

// CWndGraphicMSE window

class CWndGraphicMSE : public CWnd
// Construction

// Attributes

// Operations

// Overrides
	// ClassWizard generated virtual function overrides

// Implementation
	void AddNewestPoint( double newest );
	void EraseAllPoints();
	virtual ~CWndGraphicMSE();

	// Generated message map functions
	void Initialize();
	std::deque< double >  m_Points;  // holds 200 points, one MSE value per every 100 patterns
	afx_msg int OnCreate(LPCREATESTRUCT lpCreateStruct);
	afx_msg void OnNcDestroy();
	afx_msg void OnPaint();


#pragma warning( pop )

// Microsoft Visual C++ will insert additional declarations immediately before the previous line.

#endif // !defined(AFX_WNDGRAPHICMSE_H__68A13782_32AC_4A66_B46A_3D3475E7CA82__INCLUDED_)

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About the Author

Mike O'Neill
United States United States
Mike O'Neill is a patent attorney in Southern California, where he specializes in computer and software-related patents. He programs as a hobby, and in a vain attempt to keep up with and understand the technology of his clients.

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