small typo
This commit is contained in:
@@ -329,7 +329,7 @@ Hessians.
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<p>
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Recently, a number of methods have been introduced that accomplish
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this by tracking not only the gradient, but also the second moment of
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the gradient. These methods include AdaGrad, AdaDelta, RMS-Prop, and
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the gradient. These methods include AdaGrad, AdaDelta, Root Mean Squared Propagation (RMS-Prop), and
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ADAM.
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<p>
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@@ -659,7 +659,7 @@ Hessians.
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<p>
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Recently, a number of methods have been introduced that accomplish
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this by tracking not only the gradient, but also the second moment of
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the gradient. These methods include AdaGrad, AdaDelta, RMS-Prop, and
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the gradient. These methods include AdaGrad, AdaDelta, Root Mean Squared Propagation (RMS-Prop), and
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ADAM.
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</section>
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@@ -733,7 +733,7 @@ Hessians.
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<p>
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Recently, a number of methods have been introduced that accomplish
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this by tracking not only the gradient, but also the second moment of
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the gradient. These methods include AdaGrad, AdaDelta, RMS-Prop, and
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the gradient. These methods include AdaGrad, AdaDelta, Root Mean Squared Propagation (RMS-Prop), and
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ADAM.
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<p>
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@@ -738,7 +738,7 @@ Hessians.
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<p>
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Recently, a number of methods have been introduced that accomplish
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this by tracking not only the gradient, but also the second moment of
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the gradient. These methods include AdaGrad, AdaDelta, RMS-Prop, and
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the gradient. These methods include AdaGrad, AdaDelta, Root Mean Squared Propagation (RMS-Prop), and
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ADAM.
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<p>
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@@ -593,7 +593,7 @@
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"\n",
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"Recently, a number of methods have been introduced that accomplish\n",
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"this by tracking not only the gradient, but also the second moment of\n",
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"the gradient. These methods include AdaGrad, AdaDelta, RMS-Prop, and\n",
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"the gradient. These methods include AdaGrad, AdaDelta, Root Mean Squared Propagation (RMS-Prop), and\n",
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"ADAM.\n",
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"\n",
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"## RMS prop\n",
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@@ -437,7 +437,7 @@ Hessians.
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Recently, a number of methods have been introduced that accomplish
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this by tracking not only the gradient, but also the second moment of
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the gradient. These methods include AdaGrad, AdaDelta, RMS-Prop, and
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the gradient. These methods include AdaGrad, AdaDelta, Root Mean Squared Propagation (RMS-Prop), and
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ADAM.
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!split
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