IBM launches deep learning as a service (DLaaS) for AI developers

Deep Learning as a Service has unique features, such as Neural Network Modeler, to lower the barrier to entry for all users, not just a few experts


Devdiscourse News Desk | Updated: 20-03-2018 17:21 IST | Created: 20-03-2018 17:17 IST
IBM launches deep learning as a service (DLaaS) for AI developers
Deep learning as a service (image credit: IBM)

IBM has announced the launch of its latest Deep Learning as a Service (DLaaS) program for AI developers.  Deep learning involves building and training a “neural network,” a machine learning model inspired by the human brain. The company’s DLaaS runs on its excellent Watson platform

With this new tool, developers can develop their models with the same open source frameworks they are likely already using (think TensorFlow, Caffe, PyTorch, Keras).

Drawing from advances made at IBM Research, Deep Learning as a Service enables organizations to overcome the common barriers to deep learning deployment: skills, standardization, and complexity.

It combines the flexibility, ease-of-use, and economics of a cloud service with the compute power of deep learning. With easy to use REST APIs, one can train deep learning models with different amounts of resources per user requirements, or budget.

As per the IBM’s white paper published by the researchers “Users can choose from a set of supported deep learning frameworks, a neural network model, training data, and cost constraints and then the service takes care of the rest, providing them an interactive, iterative training experience.”

Deep Learning as a Service has unique features, such as Neural Network Modeler, to lower the barrier to entry for all users, not just a few experts.

The enhancements live within Watson Studio, our cloud-native, end-to-end environment for data scientists, developers, business analysts and SMEs to build and train AI models that work with structured, semi-structured and unstructured data —while maintaining an organization’s existing policy/access rules around the data.

To simplify this neural network building process and making it possible even for professionals without deep coding experience to do it, Deep Learning as a Service now includes a unique Neural Network Modeler.

Neural Network Modeler is an intuitive drag-and-drop interface that enables a non-programmer to speed up the model-building process by visually selecting, configuring, designing and auto-coding their neural network using the most popular deep learning frameworks.

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