
Deep Learning Studio 2.0
Deep Cognition recently announced their update for Deep Learning Studio dubbed "Deep Learning Studio 2.0". With this update, they have announced that Deep Learning Studio is now free of cost and without limitation to AI developers worldwide.
Here is a list of some cool new features:
Improved Visual Interface to Design Deep Learning Models
The deep cognition team has further improved the Deep Learning Studio visual interface to make it even easier to develop and train deep learning models:
Preconfigured Deep Learning Development Environment
In addition to the drag and drop interface, developers now have the ability to use all popular deep learning frameworks to develop deep learning models. There is no hassle of installation, all development environments are preconfigured and tested by us. You just click and launch web-based IDE and terminal.
Deploy as REST API and/or a Functioning Web Application
Either deploy your trained deep learning model on the local machine or remote machine (SSH) with a single click.
Deploy as REST API with Single Click
Deployed Web Application
Model Deployed as REST API
Manage Deployed Models
Model and Hyperparameter Comparison
Now it is easier than ever to track your changes in the model with the new model/hyperparameter comparison feature. You can get full visibility into what changes made the difference in results.
Model Comparison
Hyperparameter Comparison
Ready to take advantage of Deep Learning Studio 2.0? Click here to see our full selection of deep learning solutions.

Deep Cognition Announces Deep Learning Studio 2.0!
Deep Learning Studio 2.0
Deep Cognition recently announced their update for Deep Learning Studio dubbed "Deep Learning Studio 2.0". With this update, they have announced that Deep Learning Studio is now free of cost and without limitation to AI developers worldwide.
Here is a list of some cool new features:
Improved Visual Interface to Design Deep Learning Models
The deep cognition team has further improved the Deep Learning Studio visual interface to make it even easier to develop and train deep learning models:
Preconfigured Deep Learning Development Environment
In addition to the drag and drop interface, developers now have the ability to use all popular deep learning frameworks to develop deep learning models. There is no hassle of installation, all development environments are preconfigured and tested by us. You just click and launch web-based IDE and terminal.
Deploy as REST API and/or a Functioning Web Application
Either deploy your trained deep learning model on the local machine or remote machine (SSH) with a single click.
Deploy as REST API with Single Click
Deployed Web Application
Model Deployed as REST API
Manage Deployed Models
Model and Hyperparameter Comparison
Now it is easier than ever to track your changes in the model with the new model/hyperparameter comparison feature. You can get full visibility into what changes made the difference in results.
Model Comparison
Hyperparameter Comparison
Ready to take advantage of Deep Learning Studio 2.0? Click here to see our full selection of deep learning solutions.