{"id":62,"date":"2025-04-24T19:04:11","date_gmt":"2025-04-24T10:04:11","guid":{"rendered":"https:\/\/aikowakunai.com\/blog\/?p=62"},"modified":"2025-04-25T10:38:17","modified_gmt":"2025-04-25T01:38:17","slug":"%e3%83%8b%e3%83%a5%e3%83%bc%e3%83%a9%e3%83%ab%e3%83%8d%e3%83%83%e3%83%88%e3%83%af%e3%83%bc%e3%82%af","status":"publish","type":"post","link":"https:\/\/aikowakunai.com\/?p=62","title":{"rendered":"\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af"},"content":{"rendered":"\n

\u524d\u56de\u306e\u304a\u8a71\u3067\u306f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8d77\u6e90\u3068\u8a00\u308f\u308c\u308b\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u306b\u3064\u3044\u3066\u898b\u3066\u3044\u304d\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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https:\/\/qiita.com\/begaborn\/items\/3fb064215d7f6e6cce96<\/a><\/p>\n\n\n\n

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\u884c\u5217\u306e\u8a08\u7b97<\/h3>\n\n\n\n

\u3053\u3053\u304b\u3089\u6570\u5b66\u306e\u8a71\u306a\u3093\u3067\u3059\u304c\u3001\u6b63\u76f4\u3001\u6700\u521d\u306f\u8aad\u307f\u6d41\u3057\u3066\u307e\u3057\u305f\u3002\u3067\u3082\u8a18\u4e8b\u3092\u66f8\u304f\u306b\u3042\u305f\u308aDeep learning\u306e\u30bc\u30ed\u3064\u304f\u3092\u8aad\u307f\u8fd4\u3057\u3066\u308b\u3046\u3061\u306b\u3001\u3053\u306e\u57fa\u790e\u306e\u3068\u3053\u308d\u304c\u3068\u3066\u3082\u91cd\u8981\u306a\u3093\u3060\u3068\u601d\u3046\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

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\"\"<\/figure>\n\n\n\n
\u5165\u529b\u5c64<\/h5>\n\n\n\n

\\( x_1 \\) , \\( x_2 \\)<\/p>\n\n\n\n

\u4e2d\u9593\u5c64\u4e00\u3064\u76ee<\/strong><\/h5>\n\n\n\n

\\( a_1 \\) , \\( a_2 \\) , \\( a_3 \\)<\/p>\n\n\n\n

\u4e2d\u9593\u5c64\u4e8c\u3064\u76ee<\/strong><\/h5>\n\n\n\n

\\( a_1′ \\) , \\( a_2′ \\)<\/p>\n\n\n\n

\u51fa\u529b\u5c64<\/strong><\/h5>\n\n\n\n

\\( y_1 \\) , \\( y_2 \\)<\/p>\n\n\n\n

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\u6d3b\u6027\u5316\u95a2\u6570<\/h4>\n\n\n\n

\u56f3\u306e \\( h() \\) \u3068\u306a\u3063\u3066\u3044\u308b\u3068\u3053\u308d\u3067\u3059\u3002\\( a_1 \\) \u3092\u5165\u529b\u306b\u3057\u3066 \\( z_1 \\) \u3092\u51fa\u529b\u3057\u3066\u3044\u308b\u95a2\u6570\u3067\u3059\u3002<\/p>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\nh(x) = \\frac{1}{1 + e^{-x}}
\n\\]\n\n\n\n

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\n

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\u2e3b<\/p>\n\n\n\n

    \n
  1. \u305d\u3082\u305d\u3082\u300ce\u300d\u3063\u3066\u306a\u306b\uff1f
    \u2022 \u7d04 2.718 \u306e\u7121\u7406\u6570\u3002
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    \u2e3b<\/p>\n\n\n\n

      \n
    1. \\( e^{-x} \\) \u306e\u76f4\u611f\u7684\u306a\u610f\u5473
      \u2022 \u300ce \u306e x \u4e57\u306e\u9006\u6570\u300d \u3067\u3059\u3002
      \\( e^{-x} = \\frac{1}{e^x} \\)
      \u2022 x \u304c\u5927\u304d\u304f\u306a\u308b\u307b\u3069\u3001\u5206\u6bcd\u304c\u5927\u304d\u304f\u306a\u308b\u306e\u3067\u5024\u306f \u3069\u3093\u3069\u3093\u5c0f\u3055\u304f\u306a\u308b\u3002
      \u2022 x = 0 \u306e\u3068\u304d\uff1a \\( e^0 = 1 \\)
      \u2022 x = 1 \u306e\u3068\u304d\uff1a \\( e^{-1} \\approx 0.3679 \\)
      \u2022 x = 5 \u306e\u3068\u304d\uff1a \\( e^{-5} \\approx 0.0067 \\)<\/li>\n<\/ol>\n<\/blockquote>\n\n\n\n

      …OK\u3002\u3061\u306a\u307f\u306b \\( e \\) \u306f \\( exp \\) \u3068\u66f8\u3044\u305f\u308a\u3082\u3059\u308b\u305d\u3046\u3067\u3059\u3002<\/p>\n\n\n\n

      \u305f\u3057\u304b\u306b\u3053\u306e\u5f0f\u3060\u3068\u3001\u30b0\u30e9\u30d5\u306e\u5f62\u306b\u306a\u308a\u305d\u3046\u3067\u3059\u306d\uff01<\/p>\n\n\n\n

      ReLU\u95a2\u6570<\/h5>\n\n\n\n

      \u30b9\u30c6\u30c3\u30d7\u95a2\u6570\u306e\u30d1\u30ef\u30fc\u30a2\u30c3\u30d7\u7248\u3067\u3057\u3087\u3046\u304b\u3002\uff08\u8a9e\u5f59\u529b\uff09<\/p>\n\n\n\n

      \\( x \\) \u304c0\u3088\u308a\u5927\u304d\u3044\u3068\u304d\u306f\u659c\u3081\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n

      \u5f0f\u3067\u3059\u3002<\/p>\n\n\n\\[
      \nh(x) =
      \n\\begin{cases}
      \nx & (x > 0) \\\\
      \n0 & (x \\leq 0)
      \n\\end{cases}
      \n\\]\n\n\n\n

      \u3044\u3064\u304b\u4f7f\u3046\u6642\u304c\u304f\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n\n\n\n

      \u884c\u5217\u306e\u639b\u3051\u7b97\u3068\u8db3\u3057\u7b97<\/h4>\n\n\n\n

      \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u56f3\u3092\u8a08\u7b97\u3059\u308b\u306e\u306b\u3001\u884c\u5217\u306f\u3068\u3063\u3066\u3082\u4fbf\u5229\u3067\u3059\u3002\u5b9f\u88c5\u3059\u308b\u56f3\u3092\u3082\u3046\u4e00\u5ea6\u8f09\u305b\u307e\u3059\u3002<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n

      \u307e\u305a\u3001\u5165\u529b\u5c64\u306e\u5024\u3092\u884c\u5217\u3067\u8868\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\\[
      \n\\begin{bmatrix}
      \n1.0 & 0.5
      \n\\end{bmatrix}
      \n\\]\n\n\n\n

      \u4e8c\u3064\u306e\u5024\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u30011\u884c\uff08\u6a2a\uff09\u30012\u5217\uff08\u7e26\uff09\u3067\u3059\u3002\u30a8\u30af\u30bb\u30eb\u306b\u6163\u308c\u3066\u308c\u3070\u306a\u3093\u3066\u3053\u3068\u306a\u3044\u3067\u3059\u3002\\( x_1 = 1.0 \\) \u3067 \\( x_2 = 0.5 \\) \u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n\n\n\n

      \u6b21\u306b\u4e2d\u9593\u5c64\u306e\u5024\u3092\u51fa\u3057\u305f\u3044\u306e\u3067\u3059\u304c\u3001\u5165\u529b\u5c64\u306e\u305d\u308c\u305e\u308c\u306e\u5024\u306b\u91cd\u307f \\( w \\) \u3092\u304b\u3051\u3066\u307e\u3059\u3002\u305d\u3053\u3067\u884c\u5217\u306e\u7a4d\u306e\u767b\u5834\u3067\u3059\u3002\u639b\u3051\u7b97\u3059\u308b\u884c\u5217 \\( w \\) \u306f\u4ee5\u4e0b\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\\[
      \n\\begin{bmatrix}
      \n0.1 & 0.3 & 0.5 \\\\
      \n0.2 & 0.4 & 0.6
      \n\\end{bmatrix}
      \n\\]\n\n\n\n

      \\( a_1 \\) \u306f \\( x_1 = 1.0 \\) \u3068 \\( x_2 = 0.5 \\) \u306b\u3001\u305d\u308c\u305e\u308c\u3001\\( w \\) \u306e1\u5217\u76ee<\/strong>\u3067\u3042\u308b \\( 0.1 \\) \u3068 \\( 0.2 \\) \u3092\u639b\u3051\u305f\u7d50\u679c\u3092\u8db3\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u8a08\u7b97\u81ea\u4f53\u304c\u884c\u5217\u306e\u7a4d\u306e\u8a08\u7b97\u305d\u306e\u3082\u306e\u306a\u306e\u3067\u3059\u3002\u6b8b\u308a\u306e \\( a_2 \\), \\( a_3 \\) \u3082\u540c\u69d8\u306b\u8a08\u7b97\u3057\u307e\u3059\u3002\u56f3\u306b\u7167\u3089\u3057\u5408\u308f\u305b\u308b\u3068\u3001\\( w1 \\) \u304c \\( 0.1 \\), \\( w2 \\) \u306f \\( 0.3 \\) \u306b\u3042\u305f\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n

      \u305f\u3060\u3057\u3001\u3042\u3068\u5c11\u3057\u3067\u3059\u3002 \\( a_1, a_2, a_3 \\) \u306f \\( b \\) \u3092\u8db3\u3059\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u884c\u5217\u306e\u8db3\u3057\u7b97\u3092\u884c\u3044\u307e\u3059\u3002\u8db3\u3057\u7b97\u306f\u3059\u3079\u3066\u306e\u884c\u5217\u306e\u305d\u308c\u305e\u308c\u540c\u3058\u4f4d\u7f6e\u306e\u8981\u7d20\u540c\u58eb\u3092\u8db3\u3059\u3060\u3051\u3067\u3059\u3002\u3053\u3053\u3067\u306e \\( b \\) \u3092\u30b9\u30ab\u30e9\u30fc\u5024\u3068\u3044\u3063\u305f\u308a\u3057\u307e\u3059\u3002\\( b \\) \u306f\u4ee5\u4e0b\u3067\u3059\u3002<\/p>\n\n\n\\[
      \n\\begin{bmatrix}
      \n0.1 & 0.2 & 0.3
      \n\\end{bmatrix}
      \n\\]\n\n\n\n

      \u306a\u306e\u3067\u8a08\u7b97\u7d50\u679c\u306f\u4ee5\u4e0b\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\\[
      \n\\begin{bmatrix}
      \n0.2 & 0.5 & 0.8
      \n\\end{bmatrix}
      \n\\]\n\n\n\\[
      \n+ \\begin{bmatrix}
      \n0.1 & 0.2 & 0.3
      \n\\end{bmatrix}
      \n\\]\n\n\n\\[
      \n= \\begin{bmatrix}
      \n0.3 & 0.7 & 1.1
      \n\\end{bmatrix}
      \n\\]\n\n\n\n

      \u5b9f\u88c5<\/h3>\n\n\n\n

      \u5148\u307b\u3069\u89e3\u8aac\u3057\u305f\u884c\u5217\u306e\u8a08\u7b97\u90e8\u5206\u3092Python\u3067\u66f8\u304f\u3068\u4ee5\u4e0b\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

      a1 = np.dot(x, W1) + b1<\/code><\/pre>\n\n\n\n
      \u3059\u3054\u3059\u304e\u308b\uff01\u305d\u308a\u3083\u3042\u3001Python\u304cAI\u3067\u3088\u304f\u4f7f\u308f\u308c\u308b\u308f\u3051\u3067\u3059\u3002\u3002\u3002 x<\/code> \u3068\u304b W1<\/code> \u306f\u3001\u914d\u5217\u306b\u306a\u308a\u307e\u3059\u3002\u884c\u5217\u3092\u914d\u5217\u3067\u8868\u73fe\u3057\u3066\u3044\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u30b3\u30fc\u30c9\u5168\u6587\u8f09\u305b\u307e\u3059\u3002<\/p>\n\n\n\n
      \nimport numpy as np\n\ndef init_network():\n    network = {}\n    network['W1'] = np.array([\n        [0.1, 0.3, 0.5], \n        [0.2, 0.4, 0.6],\n    ])\n    network['b1'] = np.array(\n        [0.1, 0.2, 0.3]\n    )\n    network['W2'] = np.array([\n        [0.1, 0.4], \n        [0.2, 0.5], \n        [0.3, 0.6],\n    ])\n    network['b2'] = np.array(\n        [0.1, 0.2]\n    )\n    network['W3'] = np.array([\n        [0.1, 0.3], \n        [0.2, 0.4],\n    ])\n    network['b3'] = np.array(\n        [0.1, 0.2]\n    )\n    return network\n\ndef sigmoid(x):\n    return 1 \/ (1 + np.exp(-x))\n\ndef identity_function(x):\n    return x\n\ndef forward(network, x):\n    W1, W2, W3 = network['W1'], network['W2'], network['W3']\n    b1, b2, b3 = network['b1'], network['b2'], network['b3']\n\n    a1 = np.dot(x, W1) + b1\n    z1 = sigmoid(a1)\n    a2 = np.dot(z1, W2) + b2\n    z2 = sigmoid(a2)\n    a3 = np.dot(z2, W3) + b3\n    y = identity_function(a3)\n\n    return y\n\nnetwork = init_network()\nx = np.array([1.0, 0.5])\ny = forward(network, x)\nprint(y) # [0.31682708 0.69627909]<\/code><\/pre>\n\n\n\n
      identity_function()<\/code> \u3067\u3059\u304c\u3001\u51fa\u529b\u5c64\u306e\u6d3b\u6027\u5316\u95a2\u6570\u306f\u5225\u306e\u95a2\u6570\u3092\u4f7f\u3044\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u5024\u3092\u305d\u306e\u307e\u307e\u51fa\u3057\u3066\u3044\u308b\u3060\u3051\u3067\u3059\u3002\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
      \u51fa\u529b\u5c64\u3067\u4f7f\u3046\u6d3b\u6027\u5316\u95a2\u6570<\/h4>\n\n\n\n
      \u305d\u3082\u305d\u3082\u3067\u3059\u304c\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001<\/p>\n\n\n\n
      \u5206\u985e\u554f\u984c<\/strong><\/h5>\n\n\n\n
      \u2192 \u30af\u30e9\u30b9\u5206\u3051\u3002\u753b\u50cf\u8a8d\u8b58\u3067\u300c\u4eba\u300d\u3068\u5206\u985e\u3059\u308b\u306a\u3069<\/p>\n\n\n\n
      \u56de\u5e30\u554f\u984c<\/strong><\/h5>\n\n\n\n
      \u2192 \u4eca\u307e\u3067\u306e\u30c7\u30fc\u30bf\u304b\u3089\u4e88\u6e2c\u3057\u3066\u51fa\u305d\u3046\u306a\u7b54\u3048\u3092\u6c42\u3081\u308b\uff08\u5024\u3092\u51fa\u3059\uff09<\/p>\n\n\n\n
      \u306b\u5206\u985e\u3055\u308c\u308b\u554f\u984c\u3092\u89e3\u304f\u3082\u306e\u3067\u3059\uff01\uff08\u4eca\u66f4\u30fb\u30fb\u30fb\uff09<\/p>\n\n\n\n
      \u306a\u306e\u3067\u51fa\u529b\u5c64\u3067\u51fa\u3066\u304d\u305f\u5024\u306f\u4e0a\u8a18\u306e\u554f\u984c\u3092\u89e3\u304f\u305f\u3081\u306e\u5024\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u306b\u4f7f\u7528\u3059\u308b\u95a2\u6570\u306f\u3001\u4ee5\u4e0b\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
        \n
      • \u6052\u7b49\u95a2\u6570: \uff08\u56de\u5e30\u554f\u984c\uff09<\/li>\n\n\n\n
      • \u30b7\u30b0\u30e2\u30a4\u30c9\u95a2\u6570:\uff082\u30af\u30e9\u30b9\u5206\u985e\u554f\u984c\uff09<\/li>\n\n\n\n
      • \u30bd\u30d5\u30c8\u30de\u30c3\u30af\u30b9\u95a2\u6570:\uff08\u591a\u30af\u30e9\u30b9\u5206\u985e\u554f\u984c\uff09<\/li>\n<\/ul>\n\n\n\n
        \u306a\u3069\u3092\u4f7f\u3044\u307e\u3059\u3002 identity_function()<\/code> \u306f\u6052\u7b49\u95a2\u6570\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
        \u30bd\u30d5\u30c8\u30de\u30c3\u30af\u30b9\u95a2\u6570<\/h5>\n\n\n\n
        \u51fa\u529b\u5c64\u3067\u4f7f\u7528\u3059\u308b\u95a2\u6570\u306e\u3046\u3061\u3001\u300c\u30bd\u30d5\u30c8\u30de\u30c3\u30af\u30b9\u95a2\u6570\u300d\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
        \u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u5165\u9580\u3067\u3082\u51fa\u3066\u304f\u308b\u3088\uff01<\/strong><\/strong><\/p>\n\n\n\n
        \u307e\u3042\u3001\u3053\u308c\u3060\u3051\u3067\u306f\u306a\u3044\u3067\u3059\u304c\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u5165\u9580\u3067\u306f\u3001\u5927\u4f53\u30bc\u30ed\u3064\u304f\u306e\u77e5\u8b58\u306f\u5168\u90e8\u77e5\u3063\u3066\u3044\u308b\u524d\u63d0\u3067\u3055\u3089\u3063\u3068\u51fa\u3066\u304d\u307e\u3059\u3002\u3002\u3002<\/p>\n\n\n\n
        \u30bd\u30d5\u30c8\u30de\u30c3\u30af\u30b9\u95a2\u6570\u306e\u5f79\u5272\u3092\u3056\u3063\u304f\u308a\u3044\u3046\u3068\u3001\u8907\u6570\u306e\u6570\u5024\u3092\u300c\u78ba\u7387\u300d\u306b\u5909\u63db\u3059\u308b<\/strong>\u95a2\u6570\u3067\u3059\u3002<\/p>\n\n\n\n
        AI\u3068\u3044\u3048\u3070\u3001ChatGPT\u304c\u51fa\u308b\u524d\u307e\u3067\u306f\u3001\u5206\u985e\u554f\u984c\u306e\u30a4\u30e1\u30fc\u30b8\u304c\u5f37\u304b\u3063\u305f\u3067\u3059\u3002\u3042\u308b\u753b\u50cf\u3092AI\u3067\u8a08\u7b97\u3057\u3066\u3001\u72ac\u306a\u306e\u304b\u3001\u732b\u306a\u306e\u304b\u3001\u306a\u3069\u306e\u5206\u985e\u3092\u3057\u3066\u304f\u308c\u308b\u3082\u306e\u3067\u3059\u3002\u305d\u308c\u306b\u4f7f\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
        \u4f8b\u3048\u3070\u3001\u3042\u308b\u6570\u5b57\u306e\u624b\u66f8\u304d\u753b\u50cf\uff08\u884c\u5217\u306b\u5909\u63db\u3057\u305f\u3082\u306e\uff09\u3092\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u8a08\u7b97\u3057\u3066\u3001\u51fa\u529b\u5c64\u3092 0 \u301c 9 \u306e 10\u500b\u306b\u3059\u308b\u5834\u5408\u3001”0″ \u306e\u78ba\u7387\u304c 0.01, “1” \u306e\u78ba\u7387\u304c 0.9 … “9” \u306e\u78ba\u7387\u304c 0.0001 \u306a\u3069\u306e\u7d50\u679c\u304c\u51fa\u308b\u3068\u3001\u3053\u306e\u753b\u50cf\u306f “1” \u306e\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u306a\u3041\u3068\u3044\u3046\u3053\u3068\u304c\u308f\u304b\u308b\u8a33\u3067\u3059\u3002<\/p>\n\n\n\n
        \u6570\u5f0f\u3067\u3059\u3002<\/p>\n\n\n\\[
        \n\\text{softmax}(x_i) = \\frac{e^{x_i}}{\\sum_{j} e^{x_j}}
        \n\\]\n\n\n\n
        \u51fa\u307e\u3057\u305f… \\( \\sum \\) \u3002\u9811\u5f35\u3063\u3066\u8aad\u307f\u89e3\u3044\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n
        \\( \\text{softmax}(x_i) \\) \u306f\u3001\u51fa\u529b\u5c64\u3067\u51fa\u529b\u3055\u308c\u308b\u5404\u30cb\u30e5\u30fc\u30ed\u30f3\u306e\u5024\u3067\u3059\u3002”0″ \u304c\u51fa\u308b\u78ba\u7387\u3001”1″\u304c\u51fa\u308b\u78ba\u7387\u3001\u306a\u3069\u3067\u3059\u3002\u78ba\u7387\u306a\u306e\u3067\u3001\u5168\u4f53\u306e\u3046\u3061\u3069\u306e\u304f\u3089\u3044\u306e\u5272\u5408\u304b\u3092\u8a08\u7b97\u3059\u308c\u3070\u3044\u3044\u306e\u3067\u3001\u4f8b\u3048\u3070\u3001”0″\u304c\u3067\u308b\u78ba\u7387\u3092\u6c42\u3081\u305f\u3051\u308c\u3070\u3001\u305d\u306e\u5024\u3092\u5168\u90e8\u306e\u5024\u306e\u5408\u8a08\u3067\u5272\u308c\u3070\u3044\u3044\u3067\u3059\u3088\u306d\u3002\u305d\u308c\u304c \\( \\frac{e^{x_i}}{\\sum_{j} e^{x_j}} \\) \u306e\u90e8\u5206\u3067\u3059\u3002<\/p>\n\n\n\n
        \u306a\u305c \\( e \\) \u306e \\( x_i \\) \u4e57\u3057\u3066\u308b\u306e\u304b\uff1fChatGPT\uff01<\/p>\n\n\n\n
        \n
          \n
        1. \u6307\u6570\u95a2\u6570\u306e\u300c\u5dee\u3092\u5f37\u8abf\u3059\u308b\u300d\u6027\u8cea<\/li>\n<\/ol>\n\n\n\n
          \u305f\u3068\u3048\u3070\u30b9\u30b3\u30a2\u304c\u5c11\u3057\u9055\u3046\u3060\u3051\u3067\u3082\u3001\u6307\u6570\u95a2\u6570\u306b\u901a\u3059\u3068\u305d\u306e\u5dee\u304c\u5927\u304d\u304f\u306a\u308b\uff1a
          \u2022 \u4f8b\uff1a\u5143\u306e\u30b9\u30b3\u30a2 \u2192 [2, 1, 0]
          \u2022 \\( e^x \\) \u3092\u901a\u3059\u3068 \u2192 [7.39, 2.72, 1.00]<\/p>\n\n\n\n
          \u3053\u308c\u306b\u3088\u308a\u3001\u6700\u3082\u9ad8\u3044\u30b9\u30b3\u30a2\u304c\u76ee\u7acb\u3064\u3088\u3046\u306b\u306a\u308b\u3002
          \u2192 \u30bd\u30d5\u30c8\u30de\u30c3\u30af\u30b9\u304c\u300c\u4e00\u756a\u305d\u308c\u3063\u307d\u3044\u30af\u30e9\u30b9\u300d\u306b\u9ad8\u3044\u78ba\u7387\u3092\u3064\u3051\u3084\u3059\u304f\u306a\u308b\u3002
          \u2e3b<\/p>\n\n\n\n
            \n
          1. \u5fae\u5206\u304c\u30ad\u30ec\u30a4\u3067\u8a08\u7b97\u3057\u3084\u3059\u3044<\/li>\n<\/ol>\n\n\n\n
            \u6a5f\u68b0\u5b66\u7fd2\u3067\u306f\u52fe\u914d\uff08\u5fae\u5206\uff09<\/strong>\u3092\u4f7f\u3063\u3066\u5b66\u7fd2\u3057\u307e\u3059\u3002
            \\( e^x \\) \u306f\u5fae\u5206\u3057\u3066\u3082\u5909\u308f\u3089\u306a\u3044 \\( (\\frac{d}{dx}e^x = e^x) \\)\u305f\u3081\u3001\u5b66\u7fd2\u6642\u306e\u8a08\u7b97\u304c\u30b7\u30f3\u30d7\u30eb\u306b\u306a\u308a\u307e\u3059\u3002
            \u2e3b<\/p>\n\n\n\n
              \n
            1. 0\u301c1\u306e\u78ba\u7387\u306b\u81ea\u7136\u3068\u5909\u63db\u3067\u304d\u308b<\/li>\n<\/ol>\n\n\n\n
              \u6307\u6570\u95a2\u6570\u3092\u4f7f\u3063\u3066\u5404\u5024\u3092\u5909\u63db\u3057\u3001\u5168\u4f53\u306e\u5408\u8a08\u3067\u5272\u308b\u3068\u5fc5\u305a\u5408\u8a08\u304c1\u306b\u306a\u308b\u3002
              \u2192 \u3053\u308c\u306f\u78ba\u7387\u3068\u3057\u3066\u975e\u5e38\u306b\u81ea\u7136\u306a\u6027\u8cea\u3002<\/p>\n<\/blockquote>\n\n\n\n
              …OK\u3002\u3068\u306b\u304b\u304f\u78ba\u7387\u3092\u6c42\u3081\u308b\u305f\u3081\u306b\u4f7f\u3046\u95a2\u6570\u306a\u3093\u3060…\uff01<\/p>\n\n\n\n
              \u6700\u5f8c\u306b\u3001\u30bc\u30ed\u3064\u304f\u306b\u8f09\u3063\u3066\u3044\u305f\u56f3\u304c\u308f\u304b\u308a\u3084\u3059\u3044\u306e\u3067\u5f15\u7528\u3055\u305b\u3066\u3044\u305f\u3060\u304d\u307e\u3059\u3002\\( \u03c3() \\) \u306f\u51fa\u529b\u5c64\u306e\u6d3b\u6027\u5316\u95a2\u6570\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\uff08\u4e2d\u9593\u5c64\u306e\u6d3b\u6027\u5316\u95a2\u6570\u306f \\( h() \\) \u3067\u3057\u305f\uff09<\/p>\n\n\n\n
              \"\"<\/figure>\n\n\n\n
              \u5f15\u7528: \u658e\u85e4 \u5eb7\u6bc5 \u8457. \u300e\u30bc\u30ed\u304b\u3089\u4f5c\u308bDeep Learning\u300f.  \u30aa\u30e9\u30a4\u30ea\u30fc\u30fb\u30b8\u30e3\u30d1\u30f3\u793e. 2016, 67\u30da\u30fc\u30b8<\/p>\n\n\n\n
              \u307e\u3068\u3081<\/h3>\n\n\n\n
              \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6982\u8981\u3068\u884c\u5217\u306e\u8a08\u7b97\u3001\u5b9f\u88c5\u3068\u898b\u3066\u3044\u304d\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
              \u3068\u3053\u308d\u3067\u30fb\u30fb\u30fb\u3044\u3063\u305f\u3044\u4f55\u3092\u3084\u3063\u3066\u308b\u306e\u3067\u3057\u3087\u3046\u304b\uff1f<\/p>\n\n\n\n
              \u3053\u308c\u304c\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u3069\u3046\u7e4b\u304c\u308b\u3093\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\n\n\n\n
              \u632b\u6298\u3057\u305f\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u5165\u9580\u306e\u6700\u521d\u306e\u65b9\u3067\u3001\u3069\u3046\u3084\u3089\u5358\u8a9e\u3092\u884c\u5217\u306e\u5024\u306b\u5909\u63db\u3057\u3066\u8a08\u7b97\u3057\u3066\u305d\u3046\u3001\u3068\u3044\u3046\u306e\u306f\u308f\u304b\u308a\u307e\u3057\u305f\u3002\u300c\u72ac\u300d\u306e\u3088\u3046\u306a\u5358\u8a9e\u3092\u3001 \\( [1.0, 0.2, 0.5] \\) \u306a\u3069\u306b\u5909\u63db\u3057\u3066\u8a08\u7b97\u3059\u308b\u8a33\u3067\u3059\u3002\u305d\u308c\u304c\u3069\u3046\u3057\u3066\u3042\u3093\u306aChatGPT\u307f\u305f\u3044\u306a\u3084\u3064\u306b\u306a\u308b\u306e\u304b\u3001\u4e0d\u601d\u8b70\u3067\u4ed5\u65b9\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u3068\u306b\u304b\u304f\u6700\u521d\u306e\u4e00\u6b69\u306f\u8e0f\u307f\u51fa\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
              \u4eca\u65e5\u306f\u9577\u304f\u306a\u3063\u305f\u306e\u3067\u3053\u3053\u307e\u3067\u3067\u3059\u3002\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
              <\/p>\n","protected":false},"excerpt":{"rendered":"
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