{
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  "Title": "Deep Learning with 'mlr3'",
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  "Description": "Deep Learning library that extends the mlr3 framework by\nbuilding upon the 'torch' package. It allows to conveniently\nbuild, train, and evaluate deep learning models without having\nto worry about low level details. Custom architectures can be\ncreated using the graph language defined in 'mlr3pipelines'.",
  "License": "LGPL (>= 3)",
  "BugReports": "https://github.com/mlr-org/mlr3torch/issues",
  "URL": "https://mlr3torch.mlr-org.com/,\nhttps://github.com/mlr-org/mlr3torch/",
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  "Repository": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-01-31 13:10:42 UTC",
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  "Packaged": {
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    "ContextTorch",
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    "infer_shapes",
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    "ingress_num",
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    "lazy_tensor",
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    "LearnerTorchMLP",
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    "materialize",
    "mlr3torch_callbacks",
    "mlr3torch_losses",
    "mlr3torch_optimizers",
    "model_descriptor_to_learner",
    "model_descriptor_to_module",
    "model_descriptor_union",
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    "nn",
    "nn_ft_cls",
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    "nn_geglu",
    "nn_graph",
    "nn_merge_cat",
    "nn_merge_prod",
    "nn_merge_sum",
    "nn_reglu",
    "nn_reshape",
    "nn_squeeze",
    "nn_tokenizer_categ",
    "nn_tokenizer_num",
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    "output_dim_for",
    "pipeop_preproc_torch",
    "PipeOpModule",
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    "PipeOpPreprocTorchAugmentCrop",
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    "PipeOpPreprocTorchAugmentRandomChoice",
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    "PipeOpPreprocTorchAugmentRandomHorizontalFlip",
    "PipeOpPreprocTorchAugmentRandomOrder",
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    "PipeOpPreprocTorchAugmentRandomVerticalFlip",
    "PipeOpPreprocTorchAugmentResizedCrop",
    "PipeOpPreprocTorchAugmentRotate",
    "PipeOpPreprocTorchAugmentVflip",
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    "PipeOpPreprocTorchTrafoAdjustGamma",
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    "PipeOpPreprocTorchTrafoNormalize",
    "PipeOpPreprocTorchTrafoPad",
    "PipeOpPreprocTorchTrafoReshape",
    "PipeOpPreprocTorchTrafoResize",
    "PipeOpPreprocTorchTrafoRgbToGrayscale",
    "PipeOpTaskPreprocTorch",
    "PipeOpTorch",
    "PipeOpTorchAdaptiveAvgPool1D",
    "PipeOpTorchAdaptiveAvgPool2D",
    "PipeOpTorchAdaptiveAvgPool3D",
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    "PipeOpTorchAvgPool2D",
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    "PipeOpTorchBlock",
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    "PipeOpTorchConv1D",
    "PipeOpTorchConv2D",
    "PipeOpTorchConv3D",
    "PipeOpTorchConvTranspose1D",
    "PipeOpTorchConvTranspose2D",
    "PipeOpTorchConvTranspose3D",
    "PipeOpTorchDropout",
    "PipeOpTorchELU",
    "PipeOpTorchFlatten",
    "PipeOpTorchFn",
    "PipeOpTorchFTCLS",
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    "PipeOpTorchGeGLU",
    "PipeOpTorchGELU",
    "PipeOpTorchGLU",
    "PipeOpTorchHardShrink",
    "PipeOpTorchHardSigmoid",
    "PipeOpTorchHardTanh",
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    "PipeOpTorchIdentity",
    "PipeOpTorchIngress",
    "PipeOpTorchIngressCategorical",
    "PipeOpTorchIngressLazyTensor",
    "PipeOpTorchIngressNumeric",
    "PipeOpTorchLayerNorm",
    "PipeOpTorchLeakyReLU",
    "PipeOpTorchLinear",
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    "PipeOpTorchMaxPool1D",
    "PipeOpTorchMaxPool2D",
    "PipeOpTorchMaxPool3D",
    "PipeOpTorchMerge",
    "PipeOpTorchMergeCat",
    "PipeOpTorchMergeProd",
    "PipeOpTorchMergeSum",
    "PipeOpTorchModel",
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    "PipeOpTorchReLU",
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    "PipeOpTorchReshape",
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    "PipeOpTorchSELU",
    "PipeOpTorchSigmoid",
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    "PipeOpTorchSoftSign",
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    "PipeOpTorchThreshold",
    "PipeOpTorchTokenizerCateg",
    "PipeOpTorchTokenizerNum",
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    "replace_head",
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    "select_invert",
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    "select_none",
    "t_clbk",
    "t_clbks",
    "t_loss",
    "t_losses",
    "t_opt",
    "t_opts",
    "task_dataset",
    "torch_callback",
    "TorchCallback",
    "TorchDescriptor",
    "TorchIngressToken",
    "TorchLoss",
    "TorchOptimizer"
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      "title": "mlr3torch: Deep Learning with 'mlr3'",
      "topics": [
        "mlr3torch-package",
        "mlr3torch"
      ]
    },
    {
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      "title": "Convert to Data Descriptor",
      "topics": [
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        "as_lazy_tensor.dataset"
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    },
    {
      "page": "as_lr_scheduler",
      "title": "Convert to CallbackSetLRScheduler",
      "topics": [
        "as_lr_scheduler"
      ]
    },
    {
      "page": "as_torch_callback",
      "title": "Convert to a TorchCallback",
      "concept": [
        "Callback"
      ],
      "topics": [
        "as_torch_callback"
      ]
    },
    {
      "page": "as_torch_callbacks",
      "title": "Convert to a list of Torch Callbacks",
      "concept": [
        "Callback",
        "Torch Descriptor"
      ],
      "topics": [
        "as_torch_callbacks"
      ]
    },
    {
      "page": "as_torch_loss",
      "title": "Convert to TorchLoss",
      "concept": [
        "Torch Descriptor"
      ],
      "topics": [
        "as_torch_loss"
      ]
    },
    {
      "page": "as_torch_optimizer",
      "title": "Convert to TorchOptimizer",
      "concept": [
        "Torch Descriptor"
      ],
      "topics": [
        "as_torch_optimizer"
      ]
    },
    {
      "page": "assert_lazy_tensor",
      "title": "Assert Lazy Tensor",
      "topics": [
        "assert_lazy_tensor"
      ]
    },
    {
      "page": "auto_device",
      "title": "Auto Device",
      "topics": [
        "auto_device"
      ]
    },
    {
      "page": "batchgetter_categ",
      "title": "Batchgetter for Categorical data",
      "topics": [
        "batchgetter_categ"
      ]
    },
    {
      "page": "batchgetter_num",
      "title": "Batchgetter for Numeric Data",
      "topics": [
        "batchgetter_num"
      ]
    },
    {
      "page": "callback_set",
      "title": "Create a Set of Callbacks for Torch",
      "concept": [
        "Callback"
      ],
      "topics": [
        "callback_set"
      ]
    },
    {
      "page": "cross_entropy",
      "title": "Cross Entropy Loss",
      "topics": [
        "cross_entropy"
      ]
    },
    {
      "page": "DataDescriptor",
      "title": "Data Descriptor",
      "topics": [
        "DataDescriptor"
      ]
    },
    {
      "page": "infer_shapes",
      "title": "Infer Shapes",
      "topics": [
        "infer_shapes"
      ]
    },
    {
      "page": "ingress_categ",
      "title": "Ingress Token for Categorical Features",
      "topics": [
        "ingress_categ"
      ]
    },
    {
      "page": "ingress_ltnsr",
      "title": "Ingress Token for Lazy Tensor Feature",
      "topics": [
        "ingress_ltnsr"
      ]
    },
    {
      "page": "ingress_num",
      "title": "Ingress Token for Numeric Features",
      "topics": [
        "ingress_num"
      ]
    },
    {
      "page": "is_lazy_tensor",
      "title": "Check for lazy tensor",
      "topics": [
        "is_lazy_tensor"
      ]
    },
    {
      "page": "lazy_shape",
      "title": "Shape of Lazy Tensor",
      "topics": [
        "lazy_shape"
      ]
    },
    {
      "page": "lazy_tensor",
      "title": "Create a lazy tensor",
      "topics": [
        "lazy_tensor"
      ]
    },
    {
      "page": "materialize",
      "title": "Materialize Lazy Tensor Columns",
      "topics": [
        "materialize",
        "materialize.list"
      ]
    },
    {
      "page": "mlr_backends_lazy",
      "title": "Lazy Data Backend",
      "topics": [
        "DataBackendLazy",
        "mlr_backends_lazy"
      ]
    },
    {
      "page": "mlr_callback_set",
      "title": "Base Class for Callbacks",
      "concept": [
        "Callback"
      ],
      "topics": [
        "CallbackSet",
        "mlr_callback_set"
      ]
    },
    {
      "page": "mlr_callback_set.checkpoint",
      "title": "Checkpoint Callback",
      "concept": [
        "Callback"
      ],
      "topics": [
        "CallbackSetCheckpoint",
        "mlr_callback_set.checkpoint"
      ]
    },
    {
      "page": "mlr_callback_set.history",
      "title": "History Callback",
      "topics": [
        "CallbackSetHistory",
        "mlr_callback_set.history"
      ]
    },
    {
      "page": "mlr_callback_set.lr_scheduler",
      "title": "Learning Rate Scheduling Callback",
      "topics": [
        "CallbackSetLRScheduler",
        "mlr_callback_set.lr_scheduler"
      ]
    },
    {
      "page": "mlr_callback_set.lr_scheduler_one_cycle",
      "title": "OneCycle Learning Rate Scheduling Callback",
      "topics": [
        "CallbackSetLRSchedulerOneCycle",
        "mlr_callback_set.lr_scheduler_one_cycle"
      ]
    },
    {
      "page": "mlr_callback_set.lr_scheduler_reduce_on_plateau",
      "title": "Reduce On Plateau Learning Rate Scheduler",
      "topics": [
        "CallbackSetLRSchedulerReduceOnPlateau",
        "mlr_callback_set.lr_scheduler_reduce_on_plateau"
      ]
    },
    {
      "page": "mlr_callback_set.progress",
      "title": "Progress Callback",
      "concept": [
        "Callback"
      ],
      "topics": [
        "CallbackSetProgress",
        "mlr_callback_set.progress"
      ]
    },
    {
      "page": "mlr_callback_set.tb",
      "title": "TensorBoard Logging Callback",
      "concept": [
        "Callback"
      ],
      "topics": [
        "CallbackSetTB",
        "mlr_callback_set.tb"
      ]
    },
    {
      "page": "mlr_callback_set.unfreeze",
      "title": "Unfreezing Weights Callback",
      "concept": [
        "Callback"
      ],
      "topics": [
        "CallbackSetUnfreeze",
        "mlr_callback_set.unfreeze"
      ]
    },
    {
      "page": "mlr_context_torch",
      "title": "Context for Torch Learner",
      "concept": [
        "Callback"
      ],
      "topics": [
        "ContextTorch",
        "mlr_context_torch"
      ]
    },
    {
      "page": "mlr_learners_torch",
      "title": "Base Class for Torch Learners",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorch",
        "mlr_learners_torch"
      ]
    },
    {
      "page": "mlr_learners_torch_image",
      "title": "Image Learner",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorchImage",
        "mlr_learners_torch_image"
      ]
    },
    {
      "page": "mlr_learners_torch_model",
      "title": "Learner Torch Model",
      "concept": [
        "Graph Network",
        "Learner"
      ],
      "topics": [
        "LearnerTorchModel",
        "mlr_learners_torch_model"
      ]
    },
    {
      "page": "mlr_learners.ft_transformer",
      "title": "FT-Transformer",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorchFTTransformer",
        "mlr_learners.ft_transformer"
      ]
    },
    {
      "page": "mlr_learners.mlp",
      "title": "Multi Layer Perceptron",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorchMLP",
        "mlr_learners.mlp"
      ]
    },
    {
      "page": "mlr_learners.module",
      "title": "Learner Torch Module",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorchModule",
        "mlr_learners.module"
      ]
    },
    {
      "page": "mlr_learners.tab_resnet",
      "title": "Tabular ResNet",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorchTabResNet",
        "mlr_learners.tab_resnet"
      ]
    },
    {
      "page": "mlr_learners.torch_featureless",
      "title": "Featureless Torch Learner",
      "concept": [
        "Learner"
      ],
      "topics": [
        "LearnerTorchFeatureless",
        "mlr_learners.torch_featureless"
      ]
    },
    {
      "page": "mlr_learners.torchvision",
      "title": "AlexNet Image Classifier",
      "topics": [
        "LearnerTorchVision",
        "mlr_learners.torchvision"
      ]
    },
    {
      "page": "mlr_pipeops_augment_center_crop",
      "title": "Center Crop Augmentation",
      "topics": [
        "mlr_pipeops_augment_center_crop",
        "PipeOpPreprocTorchAugmentCenterCrop"
      ]
    },
    {
      "page": "mlr_pipeops_augment_color_jitter",
      "title": "Color Jitter Augmentation",
      "topics": [
        "mlr_pipeops_augment_color_jitter",
        "PipeOpPreprocTorchAugmentColorJitter"
      ]
    },
    {
      "page": "mlr_pipeops_augment_crop",
      "title": "Crop Augmentation",
      "topics": [
        "mlr_pipeops_augment_crop",
        "PipeOpPreprocTorchAugmentCrop"
      ]
    },
    {
      "page": "mlr_pipeops_augment_hflip",
      "title": "Horizontal Flip Augmentation",
      "topics": [
        "mlr_pipeops_augment_hflip",
        "PipeOpPreprocTorchAugmentHflip"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_affine",
      "title": "Random Affine Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_affine",
        "PipeOpPreprocTorchAugmentRandomAffine"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_choice",
      "title": "Random Choice Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_choice",
        "PipeOpPreprocTorchAugmentRandomChoice"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_crop",
      "title": "Random Crop Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_crop",
        "PipeOpPreprocTorchAugmentRandomCrop"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_horizontal_flip",
      "title": "Random Horizontal Flip Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_horizontal_flip",
        "PipeOpPreprocTorchAugmentRandomHorizontalFlip"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_order",
      "title": "Random Order Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_order",
        "PipeOpPreprocTorchAugmentRandomOrder"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_resized_crop",
      "title": "Random Resized Crop Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_resized_crop",
        "PipeOpPreprocTorchAugmentRandomResizedCrop"
      ]
    },
    {
      "page": "mlr_pipeops_augment_random_vertical_flip",
      "title": "Random Vertical Flip Augmentation",
      "topics": [
        "mlr_pipeops_augment_random_vertical_flip",
        "PipeOpPreprocTorchAugmentRandomVerticalFlip"
      ]
    },
    {
      "page": "mlr_pipeops_augment_resized_crop",
      "title": "Resized Crop Augmentation",
      "topics": [
        "mlr_pipeops_augment_resized_crop",
        "PipeOpPreprocTorchAugmentResizedCrop"
      ]
    },
    {
      "page": "mlr_pipeops_augment_rotate",
      "title": "Rotate Augmentation",
      "topics": [
        "mlr_pipeops_augment_rotate",
        "PipeOpPreprocTorchAugmentRotate"
      ]
    },
    {
      "page": "mlr_pipeops_augment_vflip",
      "title": "Vertical Flip Augmentation",
      "topics": [
        "mlr_pipeops_augment_vflip",
        "PipeOpPreprocTorchAugmentVflip"
      ]
    },
    {
      "page": "mlr_pipeops_module",
      "title": "Class for Torch Module Wrappers",
      "concept": [
        "Graph Network",
        "PipeOp"
      ],
      "topics": [
        "mlr_pipeops_module",
        "PipeOpModule"
      ]
    },
    {
      "page": "mlr_pipeops_nn_adaptive_avg_pool1d",
      "title": "1D Adaptive Average Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_adaptive_avg_pool1d",
        "PipeOpTorchAdaptiveAvgPool1D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_adaptive_avg_pool2d",
      "title": "2D Adaptive Average Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_adaptive_avg_pool2d",
        "PipeOpTorchAdaptiveAvgPool2D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_adaptive_avg_pool3d",
      "title": "3D Adaptive Average Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_adaptive_avg_pool3d",
        "PipeOpTorchAdaptiveAvgPool3D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_avg_pool1d",
      "title": "1D Average Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_avg_pool1d",
        "PipeOpTorchAvgPool1D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_avg_pool2d",
      "title": "2D Average Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_avg_pool2d",
        "PipeOpTorchAvgPool2D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_avg_pool3d",
      "title": "3D Average Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_avg_pool3d",
        "PipeOpTorchAvgPool3D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_batch_norm1d",
      "title": "1D Batch Normalization",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_batch_norm1d",
        "PipeOpTorchBatchNorm1D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_batch_norm2d",
      "title": "2D Batch Normalization",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_batch_norm2d",
        "PipeOpTorchBatchNorm2D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_batch_norm3d",
      "title": "3D Batch Normalization",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_batch_norm3d",
        "PipeOpTorchBatchNorm3D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_block",
      "title": "Block Repetition",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_block",
        "PipeOpTorchBlock"
      ]
    },
    {
      "page": "mlr_pipeops_nn_celu",
      "title": "CELU Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_celu",
        "PipeOpTorchCELU"
      ]
    },
    {
      "page": "mlr_pipeops_nn_conv_transpose1d",
      "title": "Transpose 1D Convolution",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_conv_transpose1d",
        "PipeOpTorchConvTranspose1D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_conv_transpose2d",
      "title": "Transpose 2D Convolution",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_conv_transpose2d",
        "PipeOpTorchConvTranspose2D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_conv_transpose3d",
      "title": "Transpose 3D Convolution",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_conv_transpose3d",
        "PipeOpTorchConvTranspose3D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_conv1d",
      "title": "1D Convolution",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_conv1d",
        "PipeOpTorchConv1D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_conv2d",
      "title": "2D Convolution",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_conv2d",
        "PipeOpTorchConv2D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_conv3d",
      "title": "3D Convolution",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_conv3d",
        "PipeOpTorchConv3D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_dropout",
      "title": "Dropout",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_dropout",
        "PipeOpTorchDropout"
      ]
    },
    {
      "page": "mlr_pipeops_nn_elu",
      "title": "ELU Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_elu",
        "PipeOpTorchELU"
      ]
    },
    {
      "page": "mlr_pipeops_nn_flatten",
      "title": "Flattens a Tensor",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_flatten",
        "PipeOpTorchFlatten"
      ]
    },
    {
      "page": "mlr_pipeops_nn_fn",
      "title": "Custom Function",
      "topics": [
        "mlr_pipeops_nn_fn",
        "PipeOpTorchFn"
      ]
    },
    {
      "page": "mlr_pipeops_nn_ft_cls",
      "title": "CLS Token for FT-Transformer",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_ft_cls",
        "PipeOpTorchFTCLS"
      ]
    },
    {
      "page": "mlr_pipeops_nn_ft_transformer_block",
      "title": "Single Transformer Block for the FT-Transformer",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_ft_transformer_block",
        "PipeOpTorchFTTransformerBlock"
      ]
    },
    {
      "page": "mlr_pipeops_nn_geglu",
      "title": "GeGLU Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_geglu",
        "PipeOpTorchGeGLU"
      ]
    },
    {
      "page": "mlr_pipeops_nn_gelu",
      "title": "GELU Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_gelu",
        "PipeOpTorchGELU"
      ]
    },
    {
      "page": "mlr_pipeops_nn_glu",
      "title": "GLU Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_glu",
        "PipeOpTorchGLU"
      ]
    },
    {
      "page": "mlr_pipeops_nn_hardshrink",
      "title": "Hard Shrink Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_hardshrink",
        "PipeOpTorchHardShrink"
      ]
    },
    {
      "page": "mlr_pipeops_nn_hardsigmoid",
      "title": "Hard Sigmoid Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_hardsigmoid",
        "PipeOpTorchHardSigmoid"
      ]
    },
    {
      "page": "mlr_pipeops_nn_hardtanh",
      "title": "Hard Tanh Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_hardtanh",
        "PipeOpTorchHardTanh"
      ]
    },
    {
      "page": "mlr_pipeops_nn_head",
      "title": "Output Head",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_head",
        "PipeOpTorchHead"
      ]
    },
    {
      "page": "mlr_pipeops_nn_identity",
      "title": "Identity Layer",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_identity",
        "PipeOpTorchIdentity"
      ]
    },
    {
      "page": "mlr_pipeops_nn_layer_norm",
      "title": "Layer Normalization",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_layer_norm",
        "PipeOpTorchLayerNorm"
      ]
    },
    {
      "page": "mlr_pipeops_nn_leaky_relu",
      "title": "Leaky ReLU Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_leaky_relu",
        "PipeOpTorchLeakyReLU"
      ]
    },
    {
      "page": "mlr_pipeops_nn_linear",
      "title": "Linear Layer",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_linear",
        "PipeOpTorchLinear"
      ]
    },
    {
      "page": "mlr_pipeops_nn_log_sigmoid",
      "title": "Log Sigmoid Activation Function",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_log_sigmoid",
        "PipeOpTorchLogSigmoid"
      ]
    },
    {
      "page": "mlr_pipeops_nn_max_pool1d",
      "title": "1D Max Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_max_pool1d",
        "PipeOpTorchMaxPool1D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_max_pool2d",
      "title": "2D Max Pooling",
      "concept": [
        "PipeOps"
      ],
      "topics": [
        "mlr_pipeops_nn_max_pool2d",
        "PipeOpTorchMaxPool2D"
      ]
    },
    {
      "page": "mlr_pipeops_nn_max_pool3d",
      "title": "3D Max Pooling",
      "concept": [
        "PipeOps"
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