diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
index 74c1244..a8a04a0 100644
--- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -102,8 +102,8 @@
      * @param[out] output       Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
      *                          Data types supported: Same as @p input.
      * @param[in]  conv_info    Contains padding and stride information described in @ref PadStrideInfo.
-     * @param[in]  weights_info Specifies if the weights tensor has been reshaped with NEWeightsReshapeKernel. If this is not part of the fully connected layer the weights
-     *                          tensor has also been transposed with NEGEMMTranspose1xWKernel. Data type supported: Same as @p input.
+     * @param[in]  weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. If this is not part of the fully connected layer the weights
+     *                          tensor has also been transposed with CLGEMMTranspose1xWKernel. Data type supported: Same as @p input.
      */
     void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo());
 
diff --git a/arm_compute/runtime/CL/functions/CLHOGDetector.h b/arm_compute/runtime/CL/functions/CLHOGDetector.h
index 0b4fad7..1587836 100644
--- a/arm_compute/runtime/CL/functions/CLHOGDetector.h
+++ b/arm_compute/runtime/CL/functions/CLHOGDetector.h
@@ -55,7 +55,7 @@
      *
      * @attention The function does not reset the number of values in @ref IDetectionWindowArray so it is caller's responsibility to clear it.
      *
-     * @param[in]  input                   Input tensor. It is the output of @ref NEHOGDescriptor. Data type supported: F32
+     * @param[in]  input                   Input tensor. It is the output of @ref CLHOGDescriptor. Data type supported: F32
      * @param[in]  hog                     HOG data-object that describes the HOG descriptor
      * @param[out] detection_windows       Array of @ref DetectionWindow used to store the detected objects
      * @param[in]  detection_window_stride Distance in pixels between 2 consecutive detection windows in x and y directions.
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
index 0da16ab..659594f 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h
@@ -73,7 +73,7 @@
     bool                                         _has_bias;
 };
 
-/** Basic function to execute a generic depthwise convolution. This function calls the following OpenCL kernels:
+/** Basic function to execute a generic depthwise convolution. This function calls the following NEON kernels:
  *
  * -# @ref NEDepthwiseIm2ColKernel
  * -# @ref NEDepthwiseWeightsReshapeKernel
diff --git a/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h b/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
index 5adc111..69a90dd 100644
--- a/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
@@ -35,7 +35,7 @@
 
 /** Basic function to run @ref NEROIPoolingLayerKernel.
  *
- * This function calls the following OpenCL kernels:
+ * This function calls the following NEON kernels:
  * -# @ref NEROIPoolingLayerKernel
  *
  */