use floating-point in docs (#6659)

* use `floating-point` in docs

* Get back capital letter.

docs/ops/activation/Clamp_1.md

@@ -23,14 +23,14 @@ clamp( x_{i} )=\min\big( \max\left( x_{i}, min\_value \right), max\_value \big)
 * *min*
 
   * **Description**: *min* is the lower bound of values in the output.
-  * **Range of values**: arbitrary floating point number
+  * **Range of values**: arbitrary floating-point number
   * **Type**: `float`
   * **Required**: *yes*
 
 * *max*
 
   * **Description**: *max* is the upper bound of values in the output.
-  * **Range of values**: arbitrary floating point number
+  * **Range of values**: arbitrary floating-point number
   * **Type**: `float`
   * **Required**: *yes*
 

docs/ops/activation/HSigmoid_5.md

@@ -27,7 +27,7 @@ The HSigmoid operation is introduced in the following [article](https://arxiv.or
 
 **Types**
 
-* *T*: any floating point type.
+* *T*: any floating-point type.
 
 **Examples**
 

docs/ops/activation/HSwish_4.md

@@ -27,7 +27,7 @@ The HSwish operation is introduced in the following [article](https://arxiv.org/
 
 **Types**
 
-* *T*: arbitrary supported floating point type.
+* *T*: arbitrary supported floating-point type.
 
 
 **Example**

docs/ops/activation/HardSigmoid_1.md

@@ -30,7 +30,7 @@ For each element from the input tensor calculates corresponding
 
 **Types**
 
-* *T*: any floating point type.
+* *T*: any floating-point type.
 
 **Examples**
 

docs/ops/activation/LogSoftmax_5.md

@@ -32,7 +32,7 @@ LogSoftmax(x, axis) = t - Log(ReduceSum(Exp(t), axis))
 
 **Types**
 
-* *T*: any floating point type.
+* *T*: any floating-point type.
 
 **Mathematical Formulation**
 

docs/ops/activation/Sigmoid_1.md

@@ -20,11 +20,11 @@ sigmoid( x ) = \frac{1}{1+e^{-x}}
 
 **Inputs**:
 
-*   **1**: Input tensor *x* of any floating point type. **Required.**
+*   **1**: Input tensor *x* of any floating-point type. **Required.**
 
 **Outputs**:
 
-*   **1**: Result of Sigmoid function applied to the input tensor *x*. Floating point tensor with shape and type matching the input tensor.
+*   **1**: Result of Sigmoid function applied to the input tensor *x*. Floating-point tensor with shape and type matching the input tensor.
 
 **Example**