(useBias = false)
| 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 = |
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