import { tensor3D } from "https://deno.land/x/netsaur@0.3.1/web.ts";
Create a 3D tensor from the given 3D array.
tensor3D([
[
[1, 2, 3, 4],
[5, 6, 7, 8],
],
[
[1, 2, 3, 4],
[5, 6, 7, 8],
],
]);
Parameters
values: Array3D
benchcratesdataexamplessrctokenizersvisualizerSequentialTensorBackendNeuralNetworkShapeAdamOptimizerConfigArray1DArray2DArray3DArray4DArray5DArray6DArrayMapDataSetDecaySchedulerConfigNetworkConfigOneCycleSchedulerConfigOptimizerSchedulerShape1DShape2DShape3DShape4DShape5DShape6DAUTOCPUGPUWASMAdamOptimizerAveragePool2DLayerBatchNorm1DLayerBatchNorm2DLayerConv2DLayerConvTranspose2DLayerDenseLayerDropout1DLayerDropout2DLayerEluLayerExponentialDecayFlattenLayerLeakyReluLayerLinearDecayMaxPool2DLayerNoSchedulerOneCycleOPTIONPool2DLayerRelu6LayerReluLayerSeluLayersetupBackendSGDOptimizerSigmoidLayerSoftmaxLayerTanhLayertensortensor1Dtensor2Dtensor3Dtensor4Dtensor5Dtensor6DActivationBackendTypeCostInitLayerTypeOptimizerTypeRankSchedulerTypeSequentialTensorBackendNeuralNetworkShapeAdamOptimizerConfigArray1DArray2DArray3DArray4DArray5DArray6DArrayMapDataSetNetworkConfigOptimizerShape1DShape2DShape3DShape4DShape5DShape6DWASMAdamOptimizerAveragePool2DLayerBatchNorm1DLayerBatchNorm2DLayerConv2DLayerConvTranspose2DLayerDenseLayerDropout1DLayerDropout2DLayerEluLayerFlattenLayerLeakyReluLayerMaxPool2DLayerPool2DLayerRelu6LayerReluLayerSeluLayersetupBackendSGDOptimizerSigmoidLayerSoftmaxLayerTanhLayertensortensor1Dtensor2Dtensor3Dtensor4Dtensor5Dtensor6DActivationBackendTypeCostInitLayerTypeOptimizerTypeRankSchedulerType
mod.ts (default module)
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web.ts
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