Deep Learning Studio - August Release

Improved Inter-operativity among different deep learning frameworks

Deep Learning Studio has added a feature which will let users convert the models(code only) to Tensorflow, Caffe, Keras2, MXNet, CNTK, Pytorch, or ONNX.
You can now copy the converted code and use it in favorite deep learning framework.

Jupyterlab is now available within Deep Learning Studio

Jupyterlab is now available from within Deep Learning Studio. JupyterLab is an interactive development environment for working with notebooks, code and data.
Most importantly, JupyterLab has full support for Jupyter notebooks. Additionally, JupyterLab enables you to use text editors, terminals, data file viewers, and other
custom components side by side with notebooks in a tabbed work area. Learn more about Jupyterlab here is now available as pre-configured environment in Deep Learning Studio

Talend Open Studio is now available within Deep Learning Studio

Talend Open Studio delivers a single platform for data integration across public, private, and hybrid cloud, as well as on-premises environments.
Talend Open Studio now comes pre bundled with Deep Learning Studio. To learn more, please go to


Its still early to give complete feedback. But awsome thing is u can now deploy models. Its realy a cake walk for us.

You guys are really doing very awsome work.

Hatsoff to all you hardworking guys…


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