Deep Learning Studio
How to guides
Manage Deep Learning Environments
Manage AI Modules
Download and Deploy your DLS trained model on your machine
Download and run inference on your machine
Migrate From DLS Desktop 2.x version to Latest DLS 3.x
Migrate from DLS Cloud 2.x to Latest DLS 3.x
Sign in with DLS
Login to Deep Learning Studio
Credit Card Fraud Transaction Detector
MINC Classifier with Deep Learning Studio
Person & Dog Segmentation (MaskRCNN)
Simple MNIST ConvNet (convolutional neural network)
Object Detection in Satellite Imagery(Airbus ship Detection)
Image Segmentation For 3-D Images
Getting started with
Deep Learning Studio!
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
: If you have not installed the
DLS 3.0 desktop
version, please refer to the
If you are an
of DLS, click on "
Login with Deep Cognition
". Enter username/email and password.
If you don't have account with Deep Cognition, "
Sign up here
" register your details with Deep Cognition. For detailed information of sign up refer this
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
You can learn
about designing a neural network NN with DLS, which is super easy and one of a great feature of DLS.
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
tab and enter the server name and click on deploy button. It will take a moment and after that deploy it by clicking on
Your app is successfully deployed. Click on the link at bottom
Here, drop an image and click on
to do inference
You have successfully completed the quick start. You can always explore more about the complete features.
Next - How to guides
Getting started with Deep Learning Studio!