Fix op category section in operations spec (#7130)

docs/ops/activation/HSwish_4.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *HSwish-4*
 
-**Category**: *Activation*
+**Category**: *Activation function*
 
 **Short description**: HSwish takes one input tensor and produces output tensor where the hard version of swish function is applied to the tensor elementwise.
 

docs/ops/activation/LogSoftmax_5.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *LogSoftmax-5*
 
-**Category**: *Activation*
+**Category**: *Activation function*
 
 **Short description**: LogSoftmax computes the natural logarithm of softmax values for the given input.
 

docs/ops/arithmetic/Abs_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Abs-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Abs* performs element-wise the absolute value with given tensor.
 

docs/ops/arithmetic/Acos_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Acos-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Acos* performs element-wise inverse cosine (arccos) operation with given tensor.
 

docs/ops/arithmetic/Acosh_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Acosh-3*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Acosh* performs element-wise hyperbolic inverse cosine (arccosh) operation with given tensor.
 

docs/ops/arithmetic/Add_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Add-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Add* performs element-wise addition operation with two given tensors applying broadcasting rule specified in the *auto_broacast* attribute.
 

docs/ops/arithmetic/Asin_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Asin-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Asin* performs element-wise inverse sine (arcsin) operation with given tensor.
 

docs/ops/arithmetic/Asinh_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Asinh-3*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Asinh* performs element-wise inverse hyperbolic sine operation (arcsinh) on a given input tensor.
 

docs/ops/arithmetic/Atan_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Atan-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Atan* performs element-wise inverse tangent (arctangent) operation with given tensor.
 

docs/ops/arithmetic/Atanh_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Atanh-3*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Atanh* performs element-wise hyperbolic inverse tangent (arctangenth) operation with a given tensor.
 

docs/ops/arithmetic/Ceiling_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Ceiling-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Ceiling* performs element-wise ceiling operation with given tensor.
 

docs/ops/arithmetic/Cos_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Cos-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Cos* performs element-wise cosine operation on a given input tensor.
 

docs/ops/arithmetic/Cosh_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Cosh-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Cosh* performs element-wise hyperbolic cosine operation on a given input tensor.
 

docs/ops/arithmetic/CumSum_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *CumSum-3*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *CumSum* performs cumulative summation of the input elements along the given axis.
 

docs/ops/arithmetic/Divide_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Divide-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Divide* performs element-wise division operation with two given tensors applying broadcasting rule specified in the *auto_broacast* attribute.
 

docs/ops/arithmetic/Erf_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Erf-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Erf* performs element-wise Gauss error function (erf) on a given input tensor.
 

docs/ops/arithmetic/FloorMod_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *FloorMod-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *FloorMod* performs an element-wise floor modulo operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
 

docs/ops/arithmetic/Floor_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Floor-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Floor* performs element-wise floor operation with given tensor.
 

docs/ops/arithmetic/Log_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Log-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Log* performs element-wise natural logarithm operation with given tensor.
 

docs/ops/arithmetic/Maximum_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Maximum-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Maximum* performs element-wise maximum operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
 

docs/ops/arithmetic/Minimum_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Minimum-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Minimum* performs element-wise minimum operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
 

docs/ops/arithmetic/Mod_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Mod-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Mod* performs an element-wise modulo operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
 

docs/ops/arithmetic/Multiply_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Multiply-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Multiply* performs element-wise multiplication operation with two given tensors applying broadcasting rule specified in the *auto_broacast* attribute.
 

docs/ops/arithmetic/Negative_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Negative-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Negative* performs element-wise negative operation on a given input tensor.
 

docs/ops/arithmetic/Power_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Power-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Power* performs element-wise power operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
 

docs/ops/arithmetic/Round_5.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Round-5*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Round* performs element-wise round operation with given tensor.
 

docs/ops/arithmetic/Sign_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Sign-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Sign* performs element-wise sign operation on a given input tensor.
 

docs/ops/arithmetic/Sin_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Sin-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Sin* performs element-wise sine operation with given tensor.
 

docs/ops/arithmetic/Sinh_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Sinh-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Sinh* performs element-wise hyperbolic sine (sinh) operation on a given input tensor
 

docs/ops/arithmetic/Sqrt_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Sqrt-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: Square root element-wise operation.
 

docs/ops/arithmetic/SquaredDifference_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *SquaredDifference-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *SquaredDifference* performs element-wise subtract and square the result operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
 

docs/ops/arithmetic/Subtract_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Subtract-1*
 
-**Category**: Arithmetic binary operation
+**Category**: *Arithmetic binary*
 
 **Short description**: *Subtract* performs element-wise subtraction operation with two given tensors applying broadcasting rule specified in the *auto_broacast* attribute.
 

docs/ops/arithmetic/Tan_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Tan-1*
 
-**Category**: Arithmetic unary operation
+**Category**: *Arithmetic unary*
 
 **Short description**: *Tan* performs element-wise tangent operation with given tensor.
 

docs/ops/arithmetic/Tanh_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Tanh-1*
 
-**Category**: *Arithmetic function*
+**Category**: *Arithmetic unary*
 
 **Short description**: *Tanh* performs element-wise hyperbolic tangent (tanh) operation with given tensor.
 

docs/ops/comparison/Equal_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Equal-1*
 
-**Category**: Comparison binary operation
+**Category**: *Comparison binary*
 
 **Short description**: *Equal* performs element-wise comparison operation with two given input tensors applying multi-directional broadcast rules specified in the *auto_broadcast* attribute.
 

docs/ops/comparison/GreaterEqual_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *GreaterEqual-1*
 
-**Category**: Comparison binary operation
+**Category**: *Comparison binary*
 
 **Short description**: *GreaterEqual* performs element-wise comparison operation with two given tensors applying multi-directional broadcast rules.
 

docs/ops/comparison/Greater_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Greater-1*
 
-**Category**: Comparison binary operation
+**Category**: *Comparison binary*
 
 **Short description**: *Greater* performs element-wise comparison operation with two given tensors applying broadcast rules specified in the `auto_broadcast` attribute.
 

docs/ops/comparison/LessEqual_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *LessEqual-1*
 
-**Category**: Comparison binary operation
+**Category**: *Comparison binary*
 
 **Short description**: *LessEqual* performs element-wise comparison operation with two given tensors applying broadcast rules specified in the *auto_broadcast* attribute.
 

docs/ops/comparison/Less_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Less-1*
 
-**Category**: Comparison binary operation
+**Category**: *Comparison binary*
 
 **Short description**: *Less* performs element-wise comparison operation with two given tensors applying multi-directional broadcast rules.
 

docs/ops/comparison/NotEqual_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *NotEqual-1*
 
-**Category**: Comparison binary operation
+**Category**: *Comparison binary*
 
 **Short description**: *NotEqual* performs element-wise comparison operation with two given tensors applying
 multi-directional broadcast rules specified in the `auto_broadcast` attribute.

docs/ops/condition/Bucketize_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Bucketize-3*
 
-**Category**: Condition operation
+**Category**: *Condition*
 
 **Short description**: *Bucketize* bucketizes the input based on boundaries. This is similar to [Reference](https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/bucketize).
 

docs/ops/condition/If_8.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *If-8*
 
-**Category**: Infrastructure
+**Category**: *Condition*
 
 **Short description**: *If* operation contains two internal networks(subgraphs) such as `then_body` and `else_body`, 
 and performs one of them depending on `cond` value. If `cond` is  `True`, `then_body` is executed. If `cond` is  `False`, 

docs/ops/condition/NonZero_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *NonZero-3*
 
-**Category**: Condition operation
+**Category**: *Condition*
 
 **Short description**: *NonZero* returns the indices of the non-zero elements of the input tensor.
 

docs/ops/condition/Select_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Select-1*
 
-**Category**: *Conditions*
+**Category**: *Condition*
 
 **Short description**: *Select* returns a tensor filled with the elements from the second or the third inputs, depending on the condition (the first input) value.
 

docs/ops/convolution/ConvolutionBackpropData_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ConvolutionBackpropData-1*
 
-**Category**: Convolution
+**Category**: *Convolution*
 
 **Short description**: Computes 1D, 2D or 3D *ConvolutionBackpropData* operation with respect to the input and kernel tensors. Also known as a Transposed Convolution.
 

docs/ops/convolution/Convolution_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Convolution-1*
 
-**Category**: Convolution
+**Category**: *Convolution*
 
 **Short description**: Computes 1D, 2D or 3D convolution (cross-correlation to be precise) of input and kernel tensors.
 

docs/ops/convolution/DeformableConvolution_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *DeformableConvolution-1*
 
-**Category**: Convolution
+**Category**: *Convolution*
 
 **Short description**: Computes 2D deformable convolution of input and kernel tensors.
 

docs/ops/convolution/DeformableConvolution_8.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *DeformableConvolution-8*
 
-**Category**: Convolution
+**Category**: *Convolution*
 
 **Short description**: Computes 2D deformable convolution of input and kernel tensors.
 

docs/ops/convolution/GroupConvolutionBackpropData_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *GroupConvolutionBackpropData-1*
 
-**Category**: Convolution
+**Category**: *Convolution*
 
 **Short description**: Computes 1D, 2D or 3D *GroupConvolutionBackpropData* of input and kernel tensors.
 

docs/ops/convolution/GroupConvolution_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *GroupConvolution-1*
 
-**Category**: Convolution
+**Category**: *Convolution*
 
 **Short description**: Computes 1D, 2D or 3D GroupConvolution of input and kernel tensors.
 

docs/ops/detection/DeformablePSROIPooling_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *DeformablePSROIPooling-1*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *DeformablePSROIPooling* computes deformable position-sensitive pooling of regions of interest specified by input.
 

docs/ops/detection/ExperimentalDetectronDetectionOutput_6.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ExperimentalDetectronDetectionOutput-6*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: The *ExperimentalDetectronDetectionOutput* operation performs non-maximum suppression to generate
 the detection output using information on location and score predictions.

docs/ops/detection/ExperimentalDetectronGenerateProposalsSingleImage_6.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ExperimentalDetectronGenerateProposalsSingleImage-6*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: The *ExperimentalDetectronGenerateProposalsSingleImage* operation computes ROIs and their scores
 based on input data.

docs/ops/detection/ExperimentalDetectronPriorGridGenerator_6.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ExperimentalDetectronPriorGridGenerator-6*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: The *ExperimentalDetectronPriorGridGenerator* operation generates prior grids of specified sizes.
 

docs/ops/detection/ExperimentalDetectronROIFeatureExtractor_6.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ExperimentalDetectronROIFeatureExtractor-6*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *ExperimentalDetectronROIFeatureExtractor* is the [ROIAlign](ROIAlign_3.md) operation applied
 over a feature pyramid.

docs/ops/detection/PSROIPooling_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *PSROIPooling-1*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *PSROIPooling* computes position-sensitive pooling on regions of interest specified by input.
 

docs/ops/detection/PriorBoxClustered_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *PriorBoxClustered-1*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *PriorBoxClustered* operation generates prior boxes of specified sizes normalized to the input image size.
 

docs/ops/detection/PriorBox_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *PriorBox-1*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *PriorBox* operation generates prior boxes of specified sizes and aspect ratios across all dimensions.
 

docs/ops/detection/ROIAlign_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ROIAlign-3*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *ROIAlign* is a *pooling layer* used over feature maps of non-uniform input sizes and outputs a feature map of a fixed size.
 

docs/ops/detection/ROIPooling_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ROIPooling-1*
 
-**Category**: Object detection
+**Category**: *Object detection*
 
 **Short description**: *ROIPooling* is a *pooling layer* used over feature maps of non-uniform input sizes and outputs a feature map of a fixed size.
 

docs/ops/generation/RandomUniform_8.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *RandomUniform-8*
 
-**Category**: Generation
+**Category**: *Generation*
 
 **Short description**: *RandomUniform* operation generates a sequence of random values from a uniform distribution.
 

docs/ops/generation/Range_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Range-1*
 
-**Category**: Generation
+**Category**: *Generation*
 
 **Short description**: *Range* operation generates a sequence of numbers according input values [start, stop) with a step.
 

docs/ops/generation/Range_4.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Range-4*
 
-**Category**: Generation
+**Category**: *Generation*
 
 **Short description**: *Range* operation generates a sequence of numbers according input values [start, stop) with a step.
 

docs/ops/image/Interpolate_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Interpolate-1*
 
-**Category**: Image processing
+**Category**: *Image processing*
 
 **Short description**: *Interpolate* layer performs interpolation of independent slices in input tensor by specified dimensions and attributes.
 

docs/ops/image/Interpolate_4.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Interpolate-4*
 
-**Category**: Image processing
+**Category**: *Image processing*
 
 **Short description**: *Interpolate* layer performs interpolation of independent slices in input tensor by specified dimensions and attributes.
 

docs/ops/infrastructure/Loop_5.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Loop-5*
 
-**Category**: Infrastructure
+**Category**: *Infrastructure*
 
 **Short description**: *Loop* operation performs recurrent execution of the network, which is described in the `body`, iterating through the data.
 The operation has similar semantic to the ONNX* Loop [operation](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#Loop-13).

docs/ops/infrastructure/TensorIterator_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *TensorIterator-1*
 
-**Category**: Infrastructure
+**Category**: *Infrastructure*
 
 **Short description**: *TensorIterator* layer performs recurrent execution of the network, which is described in the `body`, iterating through the data.
 

docs/ops/logical/LogicalAnd_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *LogicalAnd-1*
 
-**Category**: Logical binary operation
+**Category**: *Logical binary*
 
 **Short description**: *LogicalAnd* performs element-wise logical AND operation with two given tensors applying multi-directional broadcast rules.
 

docs/ops/logical/LogicalNot_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *LogicalNot-1*
 
-**Category**: Logical unary operation
+**Category**: *Logical unary*
 
 **Short description**: *LogicalNot* performs element-wise logical negation operation with given tensor.
 

docs/ops/logical/LogicalOr_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *LogicalOr-1*
 
-**Category**: Logical binary operation
+**Category**: *Logical binary*
 
 **Short description**: *LogicalOr* performs element-wise logical OR operation with two given tensors applying multi-directional broadcast rules.
 

docs/ops/logical/LogicalXor_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *LogicalXor-1*
 
-**Category**: Logical binary operation
+**Category**: *Logical binary*
 
 **Short description**: *LogicalXor* performs element-wise logical XOR operation with two given tensors applying multi-directional broadcast rules.
 

docs/ops/matrix/Einsum_7.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Einsum-7*
 
-**Category**: Matrix multiplication
+**Category**: *Matrix multiplication*
 
 **Short description**: *Einsum* performs the Einstein summation convention on the operands.
 

docs/ops/matrix/MatMul_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *MatMul-1*
 
-**Category**: Matrix multiplication
+**Category**: *Matrix multiplication*
 
 **Short description**: Generalized matrix multiplication
 

docs/ops/movement/Broadcast_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Broadcast-1*
 
-**Category**: Data movement
+**Category**: *Data movement*
 
 **Short description**: *Broadcast* replicates data on the first input to fit a given shape on the second input.
 

docs/ops/movement/Broadcast_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Broadcast-3*
 
-**Category**: Data movement
+**Category**: *Data movement*
 
 **Short description**: *Broadcast* replicates data on the first input to fit a given shape on the second input.
 

docs/ops/movement/Concat_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Concat-1*
 
-**Category**: data movement operation.
+**Category**: *Data movement*
 
 **Short description**: Concatenates arbitrary number of input tensors to a single output tensor along one axis.
 

docs/ops/movement/GatherElements_6.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *GatherElements-6*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: *GatherElements* takes elements from the input `data` tensor at positions specified in the `indices` tensor.
 

docs/ops/movement/GatherND_5.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *GatherND-5*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: *GatherND* gathers slices from input tensor into a tensor of a shape specified by indices.
 

docs/ops/movement/Gather_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Gather-1*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: *Gather* operation takes slices of data in the first input tensor according to the indices specified in the second input tensor and axis from the third input.
 

docs/ops/movement/Gather_7.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Gather-7*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: *Gather* operation takes slices of data of the first input tensor according to the indices
  specified with the second input tensor and axis from the third input. Semantics of this operation is identical to

docs/ops/movement/Gather_8.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Gather-8*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: *Gather* operation takes slices of data of the first input tensor according to the indices
  specified with the second input tensor and axis from the third input. Semantics of this operation is identical to

docs/ops/movement/Pad_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Pad-1*
 
-**Category**: *Data movement operations*
+**Category**: *Data movement*
 
 **Short description**: *Pad* operation extends an input tensor on edges. The amount and value of padded elements are defined by inputs and attributes.
 

docs/ops/movement/Reverse_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Reverse-1*
 
-**Category**: data movement operation
+**Category**: *Data movement*
 
 **Short description**: *Reverse* operations reverse specified axis in an input tensor.
 

docs/ops/movement/Roll_7.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Roll-7*
 
-**Category**: data movement operation
+**Category**: *Data movement*
 
 **Short description**: The *Roll* operation shifts elements of a tensor along specified axes.
 

docs/ops/movement/ScatterElementsUpdate_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ScatterElementsUpdate-3*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: Creates a copy of the first input tensor with updated elements specified with second and third input tensors.
 

docs/ops/movement/ScatterNDUpdate_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ScatterNDUpdate-3*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: Creates a copy of the first input tensor with updated elements specified with second and third input tensors.
 

docs/ops/movement/ScatterUpdate_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *ScatterUpdate-3*
 
-**Category**: Data movement operations
+**Category**: *Data movement*
 
 **Short description**: *ScatterUpdate* creates a copy of the first input tensor with updated elements specified with second and third input tensors.
 

docs/ops/movement/ShuffleChannels_1.md

@@ -4,7 +4,7 @@
 
 **Name**: *ShuffleChannels*
 
-**Category**: Data movement
+**Category**: *Data movement*
 
 **Short description**: *ShuffleChannels* permutes data in the channel dimension of the input tensor.
 

docs/ops/movement/Split_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Split-1*
 
-**Category**: *Data movement operations*
+**Category**: *Data movement*
 
 **Short description**: *Split* operation splits an input tensor into pieces of the same length along some axis.
 

docs/ops/movement/StridedSlice_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *StridedSlice-1*
 
-**Category**: Data movement operation
+**Category**: *Data movement*
 
 **Short description**: *StridedSlice* extracts a strided slice of a tensor.
 

docs/ops/movement/Tile_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Tile-1*
 
-**Category**: Data movement
+**Category**: *Data movement*
 
 **Short description**: *Tile* operation repeats an input tensor *"data"* the number of times given by *"repeats"* input tensor along each dimension.
 * If number of elements in *"repeats"* is more than shape of *"data"*, then *"data"* will be promoted to "*repeats*" by prepending new axes, e.g. let's shape of *"data"* is equal to (2, 3) and *"repeats"* is equal to [2, 2, 2], then shape of *"data"* will be promoted to (1, 2, 3) and result shape will be (2, 4, 6).

docs/ops/movement/Transpose_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *Transpose-1*
 
-**Category**: Data movement
+**Category**: *Data movement*
 
 **Short description**: *Transpose* operation reorders the input tensor dimensions.
 

docs/ops/movement/VariadicSplit_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *VariadicSplit-1*
 
-**Category**: *Data movement operations*
+**Category**: *Data movement*
 
 **Short description**: *VariadicSplit* operation splits an input tensor into chunks along some axis. The chunks may have variadic lengths depending on `split_lengths` input tensor.
 

docs/ops/quantization/FakeQuantize_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *FakeQuantize-1*
 
-**Category**: Quantization
+**Category**: *Quantization*
 
 **Short description**: *FakeQuantize* is element-wise linear quantization of floating-point input values into a discrete set of floating-point values.
 

docs/ops/sequence/CTCGreedyDecoderSeqLen_6.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *CTCGreedyDecoderSeqLen-6*
 
-**Category**: Sequence processing
+**Category**: *Sequence processing*
 
 **Short description**: *CTCGreedyDecoderSeqLen* performs greedy decoding of the logits provided as the first input. The sequence lengths are provided as the second input.
 

docs/ops/sequence/CTCGreedyDecoder_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *CTCGreedyDecoder-1*
 
-**Category**: Sequence processing
+**Category**: *Sequence processing*
 
 **Short description**: *CTCGreedyDecoder* performs greedy decoding on the logits given in input (best path).
 

docs/ops/sequence/CTCLoss_4.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *CTCLoss-4*
 
-**Category**: Sequence processing
+**Category**: *Sequence processing*
 
 **Short description**: *CTCLoss* computes the CTC (Connectionist Temporal Classification) Loss.
 

docs/ops/sequence/GRUCell_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *GRUCell-3*
 
-**Category**: Sequence processing
+**Category**: *Sequence processing*
 
 **Short description**: *GRUCell* represents a single GRU Cell that computes the output using the formula described in the [paper](https://arxiv.org/abs/1406.1078).
 

docs/ops/sequence/OneHot_1.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *OneHot-1*
 
-**Category**: Sequence processing
+**Category**: *Sequence processing*
 
 **Short description**: *OneHot* sets the elements in the output tensor with specified indices to `on_value` and fills all other locations with `off_value`.
 

docs/ops/sequence/RNNCell_3.md

@@ -2,7 +2,7 @@
 
 **Versioned name**: *RNNCell-3*
 
-**Category**: Sequence processing
+**Category**: *Sequence processing*
 
 **Short description**: *RNNCell* represents a single RNN cell that computes the output using the formula described in the [article](https://hackernoon.com/understanding-architecture-of-lstm-cell-from-scratch-with-code-8da40f0b71f4).