static const ICON_ATTR_DATA cs_ConciseIconAttr[CONCISE_ICON_MAX] =
{
{
CONCISE_ICON_ADVANCED,
417, 7, 57, 54,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_ADVANCED,
UI_BMP_CONCISE_ADVANCED_PRESSED,
GUI_BLACK,
0, 56, 56, 22,
UI_TEXT_CONCISE_ADVANCED,
UI_WindowConciseAdvanced
},
{
CONCISE_ICON_SAVE,
420, 88, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_SAVE,
UI_BMP_CONCISE_SAVE_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_PRINT_EDIT_FILE_SAVE,
UI_WindowConciseSave
},
{
CONCISE_ICON_DELETE,
420, 144, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_DELETE,
UI_BMP_CONCISE_DELETE_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_PRINT_EDIT_EDIT_DELETE,
UI_WindowConciseDelete
},
{
CONCISE_ICON_GRAY,
420, 200, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_GRAY,
UI_BMP_CONCISE_GRAY_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_CONCISE_GRAY,
UI_WindowConciseGray
},
{
CONCISE_ICON_TEXT,
18, 200, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_TEXT,
UI_BMP_CONCISE_TEXT_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_PRINT_EDIT_TEXT,
UI_WindowConciseTextObjCreate
},
{
CONCISE_ICON_DATE,
100, 200, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_DATE,
UI_BMP_CONCISE_DATE_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_CONCISE_DATE,
UI_WindowConciseDateObjCreate
},
{
CONCISE_ICON_BARCODE,
182, 200, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_BARCODE,
UI_BMP_CONCISE_BARCODE_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_PRINT_EDIT_BARCODE,
UI_WindowConciseBarcodeObjCreate
},
{
CONCISE_ICON_PICTURE,
264, 200, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_PICTURE,
UI_BMP_CONCISE_PICTURE_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_PRINT_EDIT_PIC,
UI_WindowPrintEditPictureCreate
},
{
CONCISE_ICON_FILE,
346, 200, 50, 28,
BUTTON_STATE_NORMAL,
UI_BMP_CONCISE_FILE,
UI_BMP_CONCISE_FILE_PRESSED,
GUI_BLACK,
-7, 28, 64, 22,
UI_TEXT_PRINT_EDIT_FILE,
UI_WindowConciseFileCreate
}
};
本文深入探讨了Q学习的基本原理及其改进版DQN的算法思路，并使用TensorFlow搭建神经网络来实现这些算法。通过图解的方式解释了损失函数的概念，并提供了实现这些算法的具体步骤和技术细节。
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