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@@ -78,12 +78,12 @@ |
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"神经元的输出设为:\n", |
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"\n", |
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"$$\n", |
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"z_i = sigmoid( \\sum_{j} w_{ij} x_{j} + b )\n", |
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"z_i = \\sum_{j} w_{ij} x_{j} + w_b\n", |
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"$$\n", |
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"\n", |
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"其中$W_{ij}$是第$i$个神经元的第$j$个权重,$b$是偏置。$z_i$表示该网络的第$i$个输出。\n", |
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"其中$W_{ij}$是第$i$个神经元的第$j$个权重,$w_b$是偏置。$z_i$表示该网络的第$i$个输出。**请注意这里没有使用sigmoid等激活函数。**\n", |
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"\n", |
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"给这个输出加上一个softmax函数,那就变成了这样:\n", |
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"给这个网络输出加上一个softmax函数,那就变成了这样:\n", |
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"\n", |
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"$$\n", |
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"a_i = \\frac{e^{z_i}}{\\sum_k e^{z_k}}\n", |
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@@ -211,7 +211,7 @@ |
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"\n", |
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"其中\n", |
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"$$\n", |
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"z_i = \\sum_{j} w_{ij} x_{j} + b\n", |
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"z_i = \\sum_{j} w_{ij} x_{j} + w_b\n", |
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"$$\n" |
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] |
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}, |
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@@ -219,7 +219,7 @@ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"对于使用二次代价函数的更新方程为:\n", |
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"最为对比,使用二次代价函数的更新方程为:\n", |
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"\n", |
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"$$\n", |
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"\\delta_i = a_i (1-a_i) (y_i - a_i)\n", |
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