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Function createTwoLayerDenseModelAndData

tfjs-layers/src/engine/training_test.ts:589–600  ·  view source on GitHub ↗
(useBias = false)

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587 }
588
589 function createTwoLayerDenseModelAndData(useBias = false): [Layer, Layer] {
590 const layer1 =
591 tfl.layers.dense({units: 10, useBias, kernelInitializer: 'ones'});
592 const layer2 =
593 tfl.layers.dense({units: 1, useBias, kernelInitializer: 'ones'});
594 const output =
595 layer2.apply(layer1.apply(inputTensor)) as tfl.SymbolicTensor;
596 model = new tfl.LayersModel({inputs: [inputTensor], outputs: [output]});
597 inputs = ones([numSamples, inputSize]);
598 targets = ones([numSamples, 1]);
599 return [layer1, layer2];
600 }
601
602 function createDenseModelWithTwoOutputsAndData(): void {
603 const layer1 =

Callers 1

training_test.tsFile · 0.85

Calls 2

onesFunction · 0.90
applyMethod · 0.45

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