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# The layers that ArmNN SDK Serializer currently supports.
This reference guide provides a list of layers which can be serialized currently by the Arm NN SDK.
## Fully supported
The Arm NN SDK Serializer currently supports the following layers:
* Activation
* Addition
* ArgMinMax
* BatchToSpaceNd
* BatchNormalization
* Comparison
* Concat
* Constant
* Convolution2d
* DepthToSpace
* DepthwiseConvolution2d
* Dequantize
* DetectionPostProcess
* Division
* ElementwiseUnary
* Fill
* Floor
* FullyConnected
* Gather
* Input
* InstanceNormalization
* L2Normalization
* LogSoftmax
* Lstm
* Maximum
* Mean
* Merge
* Minimum
* Multiplication
* Normalization
* Output
* Pad
* Permute
* Pooling2d
* Prelu
* QLstm
* Quantize
* QuantizedLstm
* Reshape
* Resize
* Slice
* Softmax
* SpaceToBatchNd
* SpaceToDepth
* Splitter
* Stack
* StandIn
* StridedSlice
* Subtraction
* Switch
* Transpose
* TransposeConvolution2d
More machine learning layers will be supported in future releases.
## Deprecated layers
Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:
* Abs will deserialize as ElementwiseUnary
* Equal will deserialize as Comparison
* Greater will deserialize as Comparison
* Merger will deserialize as Concat
* ResizeBilinear will deserialize as Resize
* Rsqrt will deserialize as ElementwiseUnary
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