Here in this section, you will learn to create a “Model” without writing the code.
The simple drag & drop interface helps you design deep learning models with ease. Pre-trained models as well as use built-in assistive features simplify and accelerate the model development process. You can import the model code and edit the model with the visual interface.
You can create network models with different layers.
The "Advanced Layer" option gives you many advanced layers to build a neural network.
Select the “Layers” and drop down to the network stack area (canvas area).
Connect the layers according to your preferences.
You can also modify the default layer settings.
Click on the layer then, you will find the configuration slide in the right-hand corner and you can change the setting according to your model.
Important :If you want to delete a particular node, select the node and just click Delete.
In the "Model tab" you will get other options also :
Zoom Out :
You can adjust your model with the "Zoom Out" option.
Zoom Reset :
You can reset your model with the "Zoom Reset" option.
Zoom In :
You can adjust your model with the "Zoom In" option.
View Code :
You can see the "Model Code" that you created by simply clicking on the "View Code" icon.
Download Model :
If you want to save your model, click on the "Download Model" to save it.
Upload Model :
If you already have a ".yaml" file for your project, then you can upload your file to DLS with the "UploadModel" option and DLS will convert the file into the Suitable Model.
Click on Upload Model and choose your file.
DLS will upload that model.
You can also change the configuration according to your preferences. And train your model.
New model uploaded with ".yaml" file.
Restore Model :
You can restore your model with the previous runs in the “Restore Model” option.
With this option, you can create your model automatically just by choosing input and output type in a single click.
NOTE : When you are able to see the Green right click on the top right side corner, then your model is ready to train.