| 프로퍼티 | 타입 | 설명 | |
|---|---|---|---|
| commandQueue | IMTLCommandQueue | ||
| dstImage | MPSImage | ||
| softmax | MPSCnnSoftMax |
| 메소드 | 설명 | |
|---|---|---|
| Forward ( MPSImage inputImage = null, int imageNum = 9999, int correctLabel = 10 ) : uint |
This function encodes all the layers of the network into given commandBuffer, it calls subroutines for each piece of the network Returns: Guess of the network as to what the digit is as UInt
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| GetLabel ( MPSImage finalLayer ) : uint |
This function reads the output probabilities from finalLayer to CPU, sorts them and gets the label with heighest probability
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| MnistFullLayerNeuralNetwork ( IMTLCommandQueue commandQueueIn ) : System | ||
| Planar16FtoPlanarF ( vImageBuffer &src, vImageBuffer &dest, vImageFlags flags ) : vImageError |
| 메소드 | 설명 | |
|---|---|---|
| vImageConvert_Planar16FtoPlanarF ( vImageBuffer &src, vImageBuffer &dest, vImageFlags flags ) : nint |
| public Forward ( MPSImage inputImage = null, int imageNum = 9999, int correctLabel = 10 ) : uint | ||
| inputImage | MPSImage | Image coming in on which the network will run |
| imageNum | int | If the test set is being used we will get a value between 0 and 9999 for which of the 10,000 images is being evaluated |
| correctLabel | int | The correct label for the inputImage while testing |
| 리턴 | uint | |
| public GetLabel ( MPSImage finalLayer ) : uint | ||
| finalLayer | MPSImage | output image of the network this has probabilities of each digit |
| 리턴 | uint | |
| public MnistFullLayerNeuralNetwork ( IMTLCommandQueue commandQueueIn ) : System | ||
| commandQueueIn | IMTLCommandQueue | |
| 리턴 | System | |
| public static Planar16FtoPlanarF ( vImageBuffer &src, vImageBuffer &dest, vImageFlags flags ) : vImageError | ||
| src | vImageBuffer | |
| dest | vImageBuffer | |
| flags | vImageFlags | |
| 리턴 | vImageError | |