Create a DL Model Using DL Model Designer | Razor Think
The Deep Learning Modeler

Create a DL Model Using DL Model Designer

By December 11, 2020 No Comments

Create a DL Model Using DL Model Designer

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Task Description

As an RZT aiOS User or Admin, you use the RazorThink DL Model Designer to create a Deep Learning (DL) model.

Roles for performing this task

User, Admin

Task Steps

  • Log in to RZT aiOS as a User or Admin. Open the project that will contain the DL model you want to create.
  • In the toolbar on the left side of the window, click the DL Model Designer icon  . The DL model list is displayed.
  • Click the Plus icon  to create a new DL model. The Create Model dialog is displayed.
  • In the Create Model dialog Name field, specify a name for the DL model (alphanumeric characters and the underscore may be used; other special characters including space are not valid).  Click Create.

The new model is created and shown in the Model List.

  • Click the model name in the Model List to begin building the model architecture. Click the Plus icon  to add layers, costs, optimizers, and other elements.
  • In the Search field, start typing the name of the layer, cost, optimizer, or operator you want to insert in the Designer canvas. A list of available items is displayed.
  • Click the layer name and place the layer in the Designer main window. Edit the name of the component.
  • Click the component and set parameters of the component.
  • Repeat this process for all required components. Connect the output of each layer to the input of the next layer by placing the mouse pointer on the respective output/input dents and dragging from output to input dent. To delete a connection or layer, right-click on the connection/layer and click the Delete option.
  • Save the model by clicking Save in the top right corner. The system validates the name and properties of all layers. Error messages are shown on the top right panel if:
    a)  the tensor shapes are not matching
    b)  any of the input/output are left unconnected, or
    c)  any required components such as optimizer are missing.
  • Click the Error icon  to see all error messages.
  • Fix errors and save the final model.

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