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 https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f039b8906
H2O.ai 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 https://community.talend.com/t5/custom/page/page-id/Tutorials
