import { tensor } from "https://deno.land/x/netsaur@0.2.12/mod.ts";
Create an nth rank tensor from the given nthD array and shape.
tensor([1, 2, 3, 4], [2, 2]);
Type Parameters
R extends Rank
benchcratesdataexamplessrctokenizersvisualizerSequentialTensorBackendNeuralNetworkShapeAdamOptimizerConfigArray1DArray2DArray3DArray4DArray5DArray6DArrayMapDataSetNetworkConfigOptimizerShape1DShape2DShape3DShape4DShape5DShape6DAUTOCPUGPUWASMAdamOptimizerAveragePool2DLayerBatchNorm1DLayerBatchNorm2DLayerConv2DLayerConvTranspose2DLayerDenseLayerDropout1DLayerDropout2DLayerEluLayerFlattenLayerLeakyReluLayerMaxPool2DLayerOPTIONPool2DLayerRelu6LayerReluLayerSeluLayersetupBackendSGDOptimizerSigmoidLayerSoftmaxLayerTanhLayertensortensor1Dtensor2Dtensor3Dtensor4Dtensor5Dtensor6DActivationBackendTypeCostInitLayerTypeOptimizerTypeRankSchedulerTypeSequentialTensorBackendNeuralNetworkShapeAdamOptimizerConfigArray1DArray2DArray3DArray4DArray5DArray6DArrayMapDataSetNetworkConfigOptimizerShape1DShape2DShape3DShape4DShape5DShape6DWASMAdamOptimizerAveragePool2DLayerBatchNorm1DLayerBatchNorm2DLayerConv2DLayerConvTranspose2DLayerDenseLayerDropout1DLayerDropout2DLayerEluLayerFlattenLayerLeakyReluLayerMaxPool2DLayerPool2DLayerRelu6LayerReluLayerSeluLayersetupBackendSGDOptimizerSigmoidLayerSoftmaxLayerTanhLayertensortensor1Dtensor2Dtensor3Dtensor4Dtensor5Dtensor6DActivationBackendTypeCostInitLayerTypeOptimizerTypeRankSchedulerType
mod.ts (default module)
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web.ts
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