Is a software tool that aims to simplify the creation of artificial intelligence and deep learning models. It is compatible with a number of open-source programming frameworks.
Below you'll find some helpful information to get you started. If you don’t see a topic covered here, try searching for it on our official website.
Note: If you have not installed the DLS 3.0 desktop version, please refer to the installation guide link.
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✏ In this guide, we will use a sample project of CIFAR-10 Object Recognition in Images
Projects -> Sample projects
Click on copy icon from sample projects tab
Click on project title(it will take you to the data tab)
Select Cifar10 - public dataset if not selected, by clicking on the drop-down of dataset
Now go to the model tab
Here you can see a neural network is already designed in model tab
Go to Hyperparameters tab
No of epochs is 10 here
Now go to training tab and select the device (GPU/CPU) if not selected and click on Start Training button
Observe the training progress and system usage
Once training is finished, you can download/deploy your trained model. Here, we will deploy our trained model and then will do the inference
Go to inference/deploy tab and enter the server name and click on deploy button. It will take a moment and after that deploy it by clicking on deploy button
Your app is successfully deployed. Click on the link at bottom
Here, drop an image and click on Submit to do inference