diff --git a/docs/ops/shape/Reshape_1.md b/docs/ops/shape/Reshape_1.md
index 218273dc573..23226edb3cb 100644
--- a/docs/ops/shape/Reshape_1.md
+++ b/docs/ops/shape/Reshape_1.md
@@ -9,14 +9,16 @@
 **Detailed description**:
 
 *Reshape* layer takes two input tensors: the tensor to be resized and the output tensor shape. The values in the second tensor could be -1, 0 and any positive integer number. The two special values -1 and 0:
-   * `0` means "copy the respective dimension of the input tensor" if `special_zero` is set to `true`; otherwise it is a normal dimension and is applicable to empty tensors.
-   * `-1` means that this dimension is calculated to keep the overall elements count the same as in the input tensor. Not more than one `-1` can be used in a reshape operation.
+   * `0` means "copy the respective dimension *(left aligned)* of the input tensor" if `special_zero` is set to `true`; otherwise it is a normal dimension and is applicable to empty tensors.
+   * `-1` means that this dimension is calculated to keep the overall elements count the same as in the input tensor. Not more than one `-1` can be used in a reshape operation. 
+
+If `special_zero` is set to `true` index of `0` cannot be larger than the rank of the input tensor. 
 
 **Attributes**:
 
 * *special_zero*
 
-  * **Description**: *special_zero* controls how zero values in `shape` are interpreted. If *special_zero* is `false`, then 0 is interpreted as-is which means that output shape will contain a zero dimension at the specified location. Input and output tensors are empty in this case. If *special_zero* is `true`, then all zeros in `shape` implies the copying of corresponding dimensions from `data.shape` into the output shape.
+  * **Description**: *special_zero* controls how zero values in `shape` are interpreted. If *special_zero* is `false`, then 0 is interpreted as-is which means that output shape will contain a zero dimension at the specified location. Input and output tensors are empty in this case. If *special_zero* is `true`, then all zeros in `shape` implies the copying of corresponding dimensions from `data.shape` into the output shape *(left aligned)*.
   * **Range of values**: `false` or `true`
   * **Type**: boolean
   * **Default value**: None
@@ -51,7 +53,7 @@
             <dim>0</dim>
         </port>
         <port id="1">
-            <dim>2</dim>   <!--The tensor contains 3 elements: 0, 4 -->
+            <dim>2</dim>   <!--The tensor contains 2 elements: 0, 4 -->
         </port>
     </input>
     <output>
@@ -87,3 +89,70 @@
 </layer>
 ```
 
+```xml
+<layer ... type="Reshape" ...>
+    <data special_zero="true"/>
+    <input>
+        <port id="0">
+            <dim>2</dim>
+            <dim>2</dim>
+            <dim>3</dim>
+        </port>
+        <port id="1">
+            <dim>4</dim>   <!--The tensor contains 4 elements: 0, 0, 1, -1 -->
+        </port>
+    </input>
+    <output>
+        <port id="2">
+            <dim>2</dim>
+            <dim>2</dim>
+            <dim>1</dim>
+            <dim>3</dim>
+        </port>
+    </output>
+</layer>
+```
+
+```xml
+<layer ... type="Reshape" ...>
+    <data special_zero="true"/>
+    <input>
+        <port id="0">
+            <dim>3</dim>
+            <dim>1</dim>
+            <dim>1</dim>
+        </port>
+        <port id="1">
+            <dim>2</dim>   <!--The tensor contains 2 elements: -1, 0 -->
+        </port>
+    </input>
+    <output>
+        <port id="2">
+            <dim>3</dim>
+            <dim>1</dim>
+        </port>
+    </output>
+</layer>
+```
+
+```xml
+<layer ... type="Reshape" ...>
+    <data special_zero="true"/>
+    <input>
+        <port id="0">
+            <dim>3</dim>
+            <dim>1</dim>
+            <dim>1</dim>
+        </port>
+        <port id="1">
+            <dim>2</dim>   <!--The tensor contains 2 elements: 0, -1 -->
+        </port>
+    </input>
+    <output>
+        <port id="2">
+            <dim>3</dim>
+            <dim>1</dim>
+        </port>
+    </output>
+</layer>
+```
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