.TH "MPSCNNNeuronReLUN" 3 "Mon Jul 9 2018" "Version MetalPerformanceShaders-119.3" "MetalPerformanceShaders.framework" \" -*- nroff -*-
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.SH NAME
MPSCNNNeuronReLUN
.SH SYNOPSIS
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.PP
.PP
\fC#import <MPSCNNNeuron\&.h>\fP
.PP
Inherits \fBMPSCNNNeuron\fP\&.
.SS "Instance Methods"

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.RI "(nonnull instancetype) \- \fBinitWithDevice:a:b:\fP"
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.ti -1c
.RI "(nonnull instancetype) \- \fBinitWithDevice:\fP"
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.in -1c
.SS "Additional Inherited Members"
.SH "Detailed Description"
.PP 
This depends on Metal\&.framework  Specifies the ReLUN neuron filter\&. For each pixel, applies the following function: f(x) = [ x , x >= 0 [ a * x, x < 0 [ b , x >= b As an example, the TensorFlow Relu6 activation layer can be implemented by setting the parameter b to 6\&.0f: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/relu6\&. 
.SH "Method Documentation"
.PP 
.SS "\- (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device"
Standard init with default properties per filter type 
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\fBParameters:\fP
.RS 4
\fIdevice\fP The device that the filter will be used on\&. May not be NULL\&. 
.RE
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\fBReturns:\fP
.RS 4
\fBA\fP pointer to the newly initialized object\&. This will fail, returning nil if the device is not supported\&. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later\&. 
.RE
.PP

.PP
Reimplemented from \fBMPSCNNNeuron\fP\&.
.SS "\- (nonnull instancetype) \fBinitWithDevice:\fP (nonnull id< MTLDevice >) device(float) a(float) b"
Initialize a ReLUN neuron filter 
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\fBParameters:\fP
.RS 4
\fIdevice\fP The device the filter will run on 
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\fIa\fP Filter property 'a'\&. See class discussion\&. 
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\fIb\fP Filter property 'b'\&. See class discussion\&. 
.RE
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\fBReturns:\fP
.RS 4
\fBA\fP valid \fBMPSCNNNeuronReLUN\fP object or nil, if failure\&. 
.RE
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.SH "Author"
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Generated automatically by Doxygen for MetalPerformanceShaders\&.framework from the source code\&.