Amazon Machine Image (AMI)
Deploying Deep Learning Studio
Deep Learning Studio Cloud is a simple-user solution for creating and deploying AI. The simple drag & drop GUI interface helps you design deep learning models with ease. Pre-trained models, as well as built-in assistive features, simplify and accelerate the model development process. You can import model code and edit the model with a visual interface. The platform automatically saves each model version as you iterate and tune hyper-parameters to improve performance. You can compare performance across different versions to find your optimal design. The AutoML feature allows you to design your first neural network without prior knowledge of deep learning
Running Deep Learning Studio on AMI
Follow below steps to run Deep Learning Studio using AMI:
Step 1. Click on the link https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-0b5d3859f5c8a4cd6
Step 2. Log in to AWS Console if not already logged in.
Step 3. Choose an Instance Type. We recommend p2.xlarge instance, which is having 12GB NVIDIA K80 GPU costs $0.90/hr. You are free to choose other instances.
Step 4. Click on Add Storage tab and enter the storage size. Min 30GB is required.
Step 6. Click on Configure Security Group tab and then select the option Create a new security group. Enter security group name and description. After this, click on Add Rule Button and open the port ranged 22000-22015.
Step 7. Review all your settings and click on Launch button.
Step 8. Select the Create a new key pair option from drop-down. Enter Key pair name and then click on Download Key Pair. After downloading the key file, click on Launch Instance button.
Step 9. Wait for instance to start and be ready.
Step 10. Connect to deep learning studio from your browser by going to http://< instance ip >:22000/
Visit our community link for more info.
We are dedicated to delivering the Deep Learning Studio with ease. If you have any questions on how to download Deep Learning Studio, please contact us.