This repo contains resources for working with the Deep Learning service with Watson Studio and Watson Machine Learning more broadly. This repo can be used as a part of a WML Lab.
Watson Machine Learning provides a collection of powerful tools for building, deploying, and managing machine learning models.
Documentation
Notebooks and tutorials
- Jump to WML Notebooks
- Jump to WML Videos
The Deep Learning Service with Watson Machine Learning simplifies solving the most challenging and computationally expensive machine learning problems with clarity and ease.
Choose your path
- Neural Network Modeler provides a flexible and extensible graphical interface for building nerual networks and training them with GPUs in the Cloud
- Notebooks offers intuitive and advances tools for training multiple models and managing
- Command Line tools make it easy to script your deep learning experiments without leaving your terminal.
This repo can be used as a part of a WML Lab
- Guided tour of WS and WML
- Watson Studio Project for IBMers -- please email Adam.Massachi@ibm.com for access.
- IBM Watson Studio](https://www.ibm.com/cloud/watson-studio) offers collaborative ecosystem of powerful tools for data-driven teams
- Watson Machine Learning provides intuitive and flexible model management, deployment, and scoring services alongside an open source python package and command line tools
- Cloud Object Storage encrypts and disperses data across multiple geographic locations, providing access over HTTP using a REST API. COS makes use of the distributed storage technologies provided by the IBM Cloud Object Storage System