182 lines
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HTML
182 lines
7.0 KiB
HTML
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<title>áèáëèîòåêà äëÿ ðàáîòû ñ íåéðîñåòüþ (neural network perceptron)</title>
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<h1>Îãëàâëåíèå</h1>
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<ul>
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<li>Âñòóïëåíèå</li>
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<li><a href="#fun">Ôóíêöèè</a><br>
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<ul>
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<li><a href="#f_init">lib_init</a></li>
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<li><a href="#f_create">NNP_Create</a></li>
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<li><a href="#f_reset">NNP_Reset</a></li>
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<li><a href="#f_feedf">NNP_FeedForward</a></li>
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<li><a href="#f_backp">NNP_BackPropagation</a></li>
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<li><a href="#f_getmd">NNP_GetMemData</a></li>
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<li><a href="#f_setmd">NNP_SetMemData</a></li>
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<li><a href="#f_destroy">NNP_Destroy</a></li>
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</ul>
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</li>
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<li><a href="#const">Êîíñòàíòû</a></li>
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<li><a href="#tabl_e">Òàáëèöà ýêñïîðòà</a></li>
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<li><a href="#ex1">Ïðèìåð</a></li>
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<li><a href="#hist">Èñòîðèÿ</a></li>
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</ul>
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<h1>Âñòóïëåíèå</h1>
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<p>Äîêóìåíòàöèÿ ê áèáëèîòåêå <b>nnp.obj</b>, äëÿ <b>ÎÑ Êîëèáðè</b>. Ýòà áèáëèîòåêà ñîçäàíà äëÿ ðàáîòû ñ íåéðîñåòÿìè (neural network perceptron). Âèäåî ïî íåéðîñåòÿì: <a href="https://www.youtube.com/watch?v=GNcGPw_Kb_0">1</a>,
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<a href="https://www.youtube.com/watch?v=wzIOl4hWP3U">2</a>. Èñõîäíûé êîä (ÿçûê java), íà îñíîâå êîòîðîãî äåëàëñü áèáëèîòåêà: <a href="https://github.com/ArtemOnigiri/SimpleNN">3</a>.</p>
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<p>Ïîñëåäíåå îáíîâëåíèå áèáëèîòåêè 28.05.22.</p>
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<h1><a name="fun">Ôóíêöèè</a></h1>
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<p>Âñå ôóíêöèè (êðîìå lib_init) 1-ì ïàðàìåòðîì ïðèíèìàþò óêàçàòåëü íà ñòðóêòóðó NeuralNetwork.
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Îïèñàíèå ñòðóêòóðû NeuralNetwork:</p>
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<pre>struct NeuralNetwork
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learningRate dq ? ;+ 0 ñêîðîñòü îáó÷åíèÿ
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layers dd ? ;+ 8 [] ñëîè
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layers_length dd ? ;+12 ÷èñëî ñëîåâ
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activation dd ? ;+16 óêàçàòåëü íà ôóíêöèþ àêòèâàöèè
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derivative dd ? ;+20 óêàçàòåëü íà ôóíêöèþ
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errors dd ? ;+24 ìàññèâ äëÿ âû÷èñëåíèé
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errorsNext dd ? ;+28
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gradients dd ? ;+32
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deltas dd ? ;+36
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ends</pre>
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<h4><a name="f_init">lib_init</a></h4>
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<p>Ýòà ôóíêöèÿ ïîëó÷àåò óêàçàòåëè íà ôóíêöèè ðàáîòû ñ ïàìÿòüþ, âûçûâàòñÿ äîëæíà ïðè çàãðóçêå áèáëèîòåêè. Ìîæåòå èñïîëüçîâàòü ìàêðîñ <b>@use_library</b>, äëÿ åå àâòîìàòè÷åñêîé íàñòðîéêè.</p>
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<h4><a name="f_create">NNP_Create</a></h4>
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<p>Ñîçäàåò ñëîè íåéðîñåòè è çàïîëíÿåò âåñà ñëó÷àéíûìè çíà÷åíèÿìè îò -1 äî 1. Ïðèìåð:</p>
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<pre>NNLOPT_LEN equ 7
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nnlopt dd 2,8,8,8,8,8,3
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...
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stdcall [NNP_Create], nnp_0, 0.01, 0, 0, nnlopt, NNLOPT_LEN</pre>
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<p>ãäå nnp_0 - ñòðóêòóðà íåéðîñåòè.</p>
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<p>0.01 - ñêîðîñòü îáó÷åíèÿ.</p>
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<p>0 - àäðåñ ôóíêöèè àêòèâàöèè, åñëè 0 òî áåðåòñÿ ñòàíäàðòíàÿ ôóíêöèÿ âíóòðè áèáëèîòåêè.</p>
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<p>0 - àäðåñ ôóíêöèè ñâ¸ðòêè, åñëè 0 òî áåðåòñÿ ñòàíäàðòíàÿ ôóíêöèÿ âíóòðè áèáëèîòåêè.</p>
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<p>nnlopt - ìàññèâ ñ ÷èñëîì íåéðîíîâ íà êàæäîì ñëîå.</p>
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<p>NNLOPT_LEN - äëèííà ìàññèâà nnlopt.</p>
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<h4><a name="f_reset">NNP_Reset</a></h4>
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<p>Ñáðîñ ïàðàìåòðîâ íåéðîñåòè. Äëÿ êàæäîãî ñëîÿ áàçèñíûé âåêòîð è âåñà çàïîëíÿþòñÿ ñëó÷àéíûìè ÷èñëàìè îò -1 äî 1. Òàêèå æå äåéñòâèÿ ïðîèñõîäÿò â êîíñòðóêòîðå NNP_Create.</p>
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<pre>stdcall [NNP_Reset], nnp_0</pre>
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<p>ãäå nnp_0 - ñòðóêòóðà íåéðîñåòè.</p>
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<h4><a name="f_feedf">NNP_FeedForward</a></h4>
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<p>Ôóíêöèÿ ðàñ÷åòà çíà÷åíèé âûõîäíûõ íåéðîíîâ. Íà âõîä ïîäàþòüñÿ çíà÷åíèÿ âõîäíûõ íåéðîíîâ. Íà âûõîäå âîçâðàùàåòñÿ óêàçàòåëü íà ñëîé âûõîäíûõ íåéðîíîâ.</p>
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<pre>n_input dq ?,?,?
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...
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stdcall [NNP_FeedForward], nnp_0,n_input</pre>
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<p>ãäå nnp_0 - ñòðóêòóðà íåéðîñåòè, n_input - óêàçàòåëü íà äàííûå âõîäíûõ íåéðîíîâ.</p>
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<h4><a name="f_backp">NNP_BackPropagation</a></h4>
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<p>Ôóíêöèÿ äëÿ îáó÷åíèÿ ñåòè. Ïðèìåð:</p>
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<pre>n_targ dq ?,?,?
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...
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stdcall [NNP_BackPropagation], nnp_0, n_targ</pre>
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<p>ãäå nnp_0 - ñòðóêòóðà íåéðîñåòè, n_targ - óêàçàòåëü íà äàííûå äëÿ îáó÷åíèÿ ñåòè.</p>
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<h4><a name="f_getmd">NNP_GetMemData</a></h4>
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<p>Áåðåò äàííûå íåéðîñåòè è çàïèñûâàåò èõ â óêàçàííîå ìåñòî â ïàìÿòè. Ïðèìåð:</p>
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<pre>f_data dd ?
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...
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stdcall [NNP_GetMemData], nnp_0, NNP_FF_JSON, [f_data]</pre>
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<p>ãäå nnp_0 - ñòðóêòóðà íåéðîñåòè, f_data - óêàçàòåëü íà äàííûå äëÿ çàïèñè ïàðàìåòðîâ ñåòè.</p>
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<h4><a name="f_setmd">NNP_SetMemData</a></h4>
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<p>Áåðåò äàííûå èç óêàçàííîãî ìåñòà ïàìÿòè è çàïèñûâàåò èõ â íåéðîñåòü.  ñëó÷àå óñïåõà â ðåãèñòðå eax âîçâðàùàåòñÿ 0, èíà÷å óêàçàòåëü íà ñòðîêó ñ òåêñòîì îøèáêè. Ïðèìåð:</p>
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<pre>f_data dd ?
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...
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stdcall [NNP_SetMemData], nnp_0, NNP_FF_JSON, [f_data]</pre>
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<p>ãäå nnp_0 - ñòðóêòóðà íåéðîñåòè, f_data - óêàçàòåëü íà äàííûå ñ ïàðàìåòðàìè ñåòè.</p>
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<h4><a name="f_delete">NNP_Destroy</a></h4>
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<p>Îñâîáîæäàåò ïàìÿòü çàíÿòóþ íåéðîñåòüþ.</p>
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<h1><a name="const">Êîíñòàíòû</a></h1>
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<h4>NNP_FF_BIN equ 0x6e6962</h4>
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<p>Êîíñòàíòà äëÿ ôóíêöèé NNP_GetMemData è NNP_SetMemData. Óêàçûâàåò áèíàðíûé ôîðìàò ââîäà è âûâîäà äàííûõ.</p>
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<h4>NNP_FF_JSON equ 0x6e6f736a</h4>
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<p>Êîíñòàíòà äëÿ ôóíêöèé NNP_GetMemData è NNP_SetMemData. Óêàçûâàåò òåêñòîâûé (JSON) ôîðìàò ââîäà è âûâîäà äàííûõ.</p>
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<h1><a name="tabl_e">Òàáëèöà ýêñïîðòà</a></h1>
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<p>Ïðèìåð òàáëèöû ýêñïîðòà, ðàñ÷èòàííîé íà èñïîëüçîâàíèå ìàêðîñà <b>@use_library_mem</b>:</p>
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<pre>align 4
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import_nnp_lib:
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dd sz_lib_init
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NNP_Create dd sz_create
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NNP_Reset dd sz_reset
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NNP_FeedForward dd sz_feedforward
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NNP_BackPropagation dd sz_backpropagation
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NNP_GetMemData dd sz_getmemdata
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NNP_SetMemData dd sz_setmemdata
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NNP_Destroy dd sz_destroy
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dd 0,0
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sz_lib_init db 'lib_init',0
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sz_create db 'NNP_Create',0
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sz_reset db 'NNP_Reset',0
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sz_feedforward db 'NNP_FeedForward',0
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sz_backpropagation db 'NNP_BackPropagation',0
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sz_getmemdata db 'NNP_GetMemData',0
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sz_setmemdata db 'NNP_SetMemData',0
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sz_destroy db 'NNP_Destroy',0
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</pre>
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<h1><a name="ex1">Ïðèìåð</a></h1>
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<p> äàííîì ïðèìåðå ñîçäàþòñÿ 8 îáúåêòîâ (òî÷åê ñ êîîðäèíàòàìè x, y), êàæäûé èç êîòîðûõ èìååò òèï 0 (ñèíèå) èëè 1 (çåëåíûå). Ïðè íàæàòèè êíîïêè <img src="but05.png"> ïðîèñõîäèò òðåíèðîâêà íåéðîñåòè.  ïðîöåññå òðåíèðîâêè íåéðîñåòü ó÷èòñÿ îïðåäåëÿòü êàêîé öâåò äîëæåí ñîîòâåòñòâîâàòü çàäàííûì êîîðäèíàòàì x, y. Òðåíèðîâàòü ñåòü ìîæíî ìíîãî ðàç, ÷èñëî öèêëîâ òðåíèðîâêè ïîêàçàíî â çàãîëîâêå îêíà. Êíîïêà <img src="but04.png"> ïåðåñòàâëÿåò òî÷êè ñëó÷àéíûì îáðàçîì. Êíîïêà <img src="but01.png"> ñáðàñûâàåò ñîñòîÿíèå íåéðîñåòè.</p>
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<p><img src="img01.png"></p>
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<p>Ðèñ. 1. Ïðèìåð èñïîëüçîâàíèÿ áèáëèîòåêè</p>
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<h1><a name="hist">Èñòîðèÿ</a></h1>
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<p>01.03.22 - ñàìàÿ ïåðâàÿ âåðñèÿ áèáëèîòåêè.</p>
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<p>28.05.22 - ïðèìåð èñïîëüçîâàíèÿ áèáëèîòåêè, íîâàÿ ôóíêöèÿ NNP_Reset, îáíîâëåíèå ôóíêöèè NNP_SetMemData.</p>
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