Fix Javadoc

karllessard · karllessard · commit 56883f02958b · 2022-07-14T15:16:20.000-04:00
diff --git a/tensorflow-framework/src/main/java/org/tensorflow/framework/activations/SELU.java b/tensorflow-framework/src/main/java/org/tensorflow/framework/activations/SELU.java
@@ -34,7 +34,7 @@
  * <p>where {@code alpha} and {@code scale} are pre-defined constants ({@code alpha=1.67326324} and
  * {@code scale=1.05070098}).
  *
- * <p>Basically, the SELU activation function multiplies {@code scale} (> 1) with the output of the
+ * <p>Basically, the SELU activation function multiplies {@code scale} (&gt; 1) with the output of the
  * elu function to ensure a slope larger than one for positive inputs.
  *
  * <p>The values of {@code alpha} and {@code scale} are chosen so that the mean and variance of the
diff --git a/tensorflow-framework/src/main/java/org/tensorflow/framework/activations/Sigmoid.java b/tensorflow-framework/src/main/java/org/tensorflow/framework/activations/Sigmoid.java
@@ -24,8 +24,8 @@
 /**
  * Sigmoid activation. {@code sigmoid(x) = 1 / (1 + exp(-x))}.
  *
- * <p>Applies the sigmoid activation function. For small values {@code (<-5)}, {@code sigmoid}
- * returns a value close to zero, and for large values (>5) the result of the function gets close to
+ * <p>Applies the sigmoid activation function. For small values (&lt;-5), {@code sigmoid}
+ * returns a value close to zero, and for large values (&gt;5) the result of the function gets close to
  * 1.
  *
  * <p>Sigmoid is equivalent to a 2-element Softmax, where the second element is assumed to be zero.

Original file line number	Diff line number	Diff line change
`@@ -34,7 +34,7 @@`
`34`	`34`	`* <p>where {@code alpha} and {@code scale} are pre-defined constants ({@code alpha=1.67326324} and`
`35`	`35`	`* {@code scale=1.05070098}).`
`36`	`36`	`*`
`37`		`- * <p>Basically, the SELU activation function multiplies {@code scale} (> 1) with the output of the`
	`37`	`+ * <p>Basically, the SELU activation function multiplies {@code scale} (> 1) with the output of the`
`38`	`38`	`* elu function to ensure a slope larger than one for positive inputs.`
`39`	`39`	`*`
`40`	`40`	`* <p>The values of {@code alpha} and {@code scale} are chosen so that the mean and variance of the`
Original file line number	Diff line number	Diff line change
`@@ -24,8 +24,8 @@`
`24`	`24`	`/**`
`25`	`25`	`* Sigmoid activation. {@code sigmoid(x) = 1 / (1 + exp(-x))}.`
`26`	`26`	`*`
`27`		`- * <p>Applies the sigmoid activation function. For small values {@code (<-5)}, {@code sigmoid}`
`28`		`- * returns a value close to zero, and for large values (>5) the result of the function gets close to`
	`27`	`+ * <p>Applies the sigmoid activation function. For small values (<-5), {@code sigmoid}`
	`28`	`+ * returns a value close to zero, and for large values (>5) the result of the function gets close to`
`29`	`29`	`* 1.`
`30`	`30`	`*`
`31`	`31`	`* <p>Sigmoid is equivalent to a 2-element Softmax, where the second element is assumed to be zero.`