Added lr scheduler nodes and cifar10 workflows.

docs/reference/node_reference.md

@@ -136,10 +136,14 @@
 | [Pt Load Model](pt_load_model.md) | A wrapper class for saving a PyTorch model. |
 | [Pt Predict Classification Model](pt_predict_classification_model.md) | Performs inference on input data. |
 | [Pt Train Classification Model](pt_train_classification_model.md) | Trains a classification model using a given dataset, optimizer, and number of epochs.   |
+| [Pt Train Classification Model Lr](pt_train_classification_model_lr.md) | Trains a classification model using a given dataset, optimizer, and number of epochs with learning rate decay.   |
 | [Ptn Conv Model](ptn_conv_model.md) | A convolutional model consisting of multiple convolutional layers.   |
 | [Ptn Linear Model](ptn_linear_model.md) | A linear model consisting of dense layers.   |
 | [Ptn Resnet Model](ptn_resnet_model.md) | A Resnet model consisting of multiple Resnet layers.   |
 | [Pto Adam](pto_adam.md) | Instantiates the Adam optimizer. |
+| [Pto Lr Scheduler Cosine Annealing](pto_lr_scheduler_cosine_annealing.md) | Creates a cosine annealing learning rate scheduler for an optimizer. |
+| [Pto Lr Scheduler Reduce On Plateau](pto_lr_scheduler_reduce_on_plateau.md) | Creates a reduce-on-plateau learning rate scheduler for an optimizer. |
+| [Pto Lr Scheduler Step](pto_lr_scheduler_step.md) | Creates a StepLR learning rate scheduler for an optimizer. |
 | [Ptv Dataset](ptv_dataset.md) | A Torchvision Dataset class wrapper. |
 | [Ptv Dataset Len](ptv_dataset_len.md) | A wrapper class that calls Python len on a dataset. |
 | [Ptv Dataset Loader](ptv_dataset_loader.md) | A node to combine the dataset and data loader into a single node. |