ocr_dataset / data /MachineOne_001 /annotations /sample_0000000.json
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{
"markdown": "## ู†ุธุฑูŠุฉ\nุฃุจูŠู‡ ููŠ ุงู„ุณุงุจู‚ ู…ู† ุงู„ุฃุนู„ุงู…) . ู„ู‡ ุชุตุงู†ูŠู ู…ู†ู‡ุง (ุฏูุชุฑ - ุฎ) ููŠ ุนุดุฑุฉ ุฃุณูุงุฑ ูƒุจุงุฑ ููŠ ุงู„ู…ูƒุชุจุฉ ุงู„ุฒูŠุฏุงู†ูŠุฉ ุจู…ูƒู†ุงุณ. ูˆู…ู†ู‡ ู†ุณุฎุฉ ููŠ ุณูุฑูŠู† ูƒุจูŠุฑูŠู† ุฌุฏุง ูƒุงู†ุช ููŠ ุงู„ู…ูƒุชุจุฉ ุงู„ูƒุชุงู†ูŠุฉ ุจูุงุณุŒ ูˆู„ุนู„ู‡ุง ู†ู‚ู„ุช ุฅู„ู‰ ุฎุฒุงู†ุฉ ุงู„ุฑุจุงุท. ูˆู‡ูˆ ูƒุดูƒูˆู„ุŒ ู†ุณุฎ ููŠู‡ ู…ุง ุงุณุชุญุณู†ู‡ ููŠ ุงู„ูƒุชุจุŒ ู…ู† ุบูŠุฑ ุชุจูˆูŠุจ ูˆู„ุง ุชุฑุชูŠุจุŒ ูˆ (ุชุญูุฉ ุงู„ุธุฑูุงุก ููŠ ุฌู…ูŠุน ู…ุง ู„ู„ูƒู„ุงุนูŠู‘ ู…ู† ุงู„ุฑุณุงุฆู„\ny_{n+1} = y_n - \\alpha \\nabla f(y_n) + \\frac{\\sigma}{t^2}\n## ุชุนุฑูŠู\nุงู„ู†ุจูˆูŠู‘ุฉ ูˆุงู„ุตุญุงุจุฉ ูˆุงู„ุฎู„ูุงุก) ูุฑุบ ู…ู†ู‡ ููŠ ุฃูˆุงุฎุฑ ุณู†ุฉ 1164 ูˆุฃู‡ุฏู‰ ุฃูˆู„ ู†ุณุฎุฉ ุฅู„ู‰ ุงู„ุณู„ุทุงู† ู…ุญู…ุฏ ุจู† ุนุจุฏ ุงู„ู„ู‡ุŒ ูˆ (ู‚ุทุฑ ุงู„ู†ุฏุง ููŠ ุงู„ุชุนุฑูŠู ุจ ุฃุจูŠ ุงู„ุฏุฑุฏุง) ูˆ (ูƒุดู ุงู„ุฃุณู‰ ุจู…ุญุงุณู† ุงู„ุตุงู„ุญุงุช ู…ู† ุงู„ู†ุณุงุŒ ูˆุจุนุถ ุงู„ุชุนุฑูŠูุงุช ุจุงู„ุฃุนู„ุงู… ูˆุงู„ุฑุคุณุง - ุฎ) ู…ู†ู‡ ู†ุณุฎุฉ ููŠ ุฎุฒุงู†ุฉ ุงู„ู‚ุฑูˆูŠูŠู† (ุงู„ุฑู‚ู…\n\\iint_{D} t^2 \\geq k^2 \\, dx \\, dy\n\\nabla_{\\alpha} J(\\alpha) = \\frac{1}{m} X^T ( \\sigma(X \\alpha) - Y )\n\\nabla_{\\beta} J(\\beta) = \\frac{1}{m} X^T ( \\sigma(X \\beta) - Y ) + \\frac{z}{\\mu^2}\n\\prod_{\\theta=1}^{n} (1 \\geq i_\\theta) = 0\n## ู…ู„ุงุญุธุฉ\n596) ุฃู„ูู‡ ููŠ ุงู„ู…ุฌุงุนุฉ\n\\vec{F} = m\\vec{a}\n## ู†ุธุฑูŠุฉ\nุงู„ู„ู‡ ุตูŠุงู… ุฏุงูˆุฏ\" ูŠู‚ุชุถูŠ ุซุจูˆุช ุงู„ุฃูุถู„ูŠุฉ ู…ุทู„ู‚ุงู‹ุŒ ูˆุฑูˆุงู‡ ู…ุณู„ู… ูˆุงู„ุชุฑู…ุฐูŠู‘ ุจู„ูุธ: \"ุฃูุถู„ ุงู„ุตูŠุงู… ุตูŠุงู… ุฏุงูˆุฏ\"ุŒ ูˆู…ู‚ุชุถุงู‡ ุฃู† ุชูƒูˆู† ุงู„ุฒูŠุงุฏุฉ ุนู„ู‰ ุฐู„ูƒ ู…ู† ุงู„ุตูˆู… ู…ูุถูˆู„ุฉ.\n\\iint_{D} t^2 \\cdot t^2 \\, dx \\, dy\n\\nabla_{\\mu} J(\\mu) = \\frac{1}{m} X^T ( \\sigma(X \\mu) - Y )",
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