Added simple optimizer and single layer linear model as well as a workflow to show case those nodes.

docs/reference/node_reference.md

@@ -132,12 +132,16 @@
 | Node | Description |
 | --- | --- |
 | [Pt Data Loader](pt_data_loader.md) | Loads data from a dataset node and creates a PyTorch DataLoader.   |
+| [Pt Data Loader From Tensors](pt_data_loader_from_tensors.md) | Creates a Torchvision Dataloader from a pair of tensors. |
 | [Pt Evaluate Classification Model](pt_evaluate_classification_model.md) | Performs inference on test data and computes evaluation metrics. |
 | [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 Predict Regression Model](pt_predict_regression_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.   |
+| [Pt Train Regression Model](pt_train_regression_model.md) | Trains a regression model using a given dataset, optimizer, and number of epochs.   |
 | [Ptn Conv Model](ptn_conv_model.md) | A convolutional model consisting of multiple convolutional layers.   |
+| [Ptn Linear](ptn_linear.md) | A linear model consisting of a single dense layer.   |
 | [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. |