From dd0db2def075557e52b55b64c523366ad9ec2bae Mon Sep 17 00:00:00 2001
From: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
Date: Tue, 8 Dec 2020 15:17:17 +0300
Subject: [PATCH] math formula fix

---
 .../convert_model/Legacy_IR_Layers_Catalog_Spec.md     | 10 ++++++----
 docs/ops/activation/Mish_4.md                          |  6 +++---
 docs/ops/activation/Sigmoid_1.md                       |  7 ++++---
 docs/ops/activation/Swish_4.md                         |  6 +++---
 4 files changed, 16 insertions(+), 13 deletions(-)

diff --git a/docs/MO_DG/prepare_model/convert_model/Legacy_IR_Layers_Catalog_Spec.md b/docs/MO_DG/prepare_model/convert_model/Legacy_IR_Layers_Catalog_Spec.md
index 569e52381501bc..dd06a2bbd6c4f9 100644
--- a/docs/MO_DG/prepare_model/convert_model/Legacy_IR_Layers_Catalog_Spec.md
+++ b/docs/MO_DG/prepare_model/convert_model/Legacy_IR_Layers_Catalog_Spec.md
@@ -1582,9 +1582,9 @@ OI, which means that Input changes the fastest, then Output.
 
 **Mathematical Formulation**
 
-    \f[
-        output[:, ... ,:, i, ... , j,:, ... ,:] = input2[:, ... ,:, input1[i, ... ,j],:, ... ,:]
-    \f]
+\f[
+    output[:, ... ,:, i, ... , j,:, ... ,:] = input2[:, ... ,:, input1[i, ... ,j],:, ... ,:]
+\f]
 
 
 **Inputs**
@@ -5086,7 +5086,9 @@ t \in \left ( 0, \quad tiles \right )
 
 Output tensor is populated by values computes in the following way:
 
-    output[i1, ..., i(axis-1), j, i(axis+1) ..., iN] = top_k(input[i1, ...., i(axis-1), :, i(axis+1), ..., iN]), k, sort, mode)
+\f[
+output[i1, ..., i(axis-1), j, i(axis+1) ..., iN] = top_k(input[i1, ...., i(axis-1), :, i(axis+1), ..., iN]), k, sort, mode)
+\f]
 
 So for each slice `input[i1, ...., i(axis-1), :, i(axis+1), ..., iN]` which represents 1D array, top_k value is computed individually. Sorting and minimum/maximum are controlled by `sort` and `mode` attributes.
 
diff --git a/docs/ops/activation/Mish_4.md b/docs/ops/activation/Mish_4.md
index de8397c188825a..aefc3d2f2f05d5 100644
--- a/docs/ops/activation/Mish_4.md
+++ b/docs/ops/activation/Mish_4.md
@@ -26,9 +26,9 @@
 
    For each element from the input tensor calculates corresponding
     element in the output tensor with the following formula:
-    \f[
-    Mish(x) = x*tanh(ln(1.0+e^{x}))
-    \f]
+\f[
+Mish(x) = x*tanh(ln(1.0+e^{x}))
+\f]
 
 **Examples**
 
diff --git a/docs/ops/activation/Sigmoid_1.md b/docs/ops/activation/Sigmoid_1.md
index f4a70faaff0705..828a56f5313c49 100644
--- a/docs/ops/activation/Sigmoid_1.md
+++ b/docs/ops/activation/Sigmoid_1.md
@@ -20,6 +20,7 @@
 
    For each element from the input tensor calculates corresponding
     element in the output tensor with the following formula:
-    \f[
-    sigmoid( x ) = \frac{1}{1+e^{-x}}
-    \f]
\ No newline at end of file
+
+\f[
+sigmoid( x ) = \frac{1}{1+e^{-x}}
+\f]
\ No newline at end of file
diff --git a/docs/ops/activation/Swish_4.md b/docs/ops/activation/Swish_4.md
index e8a51c9dc048db..78bcb3866e7b91 100644
--- a/docs/ops/activation/Swish_4.md
+++ b/docs/ops/activation/Swish_4.md
@@ -9,9 +9,9 @@
 **Detailed description**: For each element from the input tensor calculates corresponding
 element in the output tensor with the following formula: 
 
-    \f[
-    Swish(x) = x / (1.0 + e^{-(beta * x)})
-    \f]
+\f[
+Swish(x) = x / (1.0 + e^{-(beta * x)})
+\f]
 
 The Swish operation is introduced in the [article](https://arxiv.org/pdf/1710.05941.pdf).