IBM today announced the launch of the new Deep Learning as a Service (DLaaS) program for AI developers.
With Deep Learning as a Service (DLaaS), developers will be able to train neural networks using popular frameworks such as TensorFlow, PyTorch and Caffe without buying and maintaining costly hardware.
Η service it allows data scientists to train their models using only the resources they need, paying only for GPU usage time.
Each data processing unit in the cloud has been created for easy use and is ready for programming deep learning networks without the need for infrastructure management by users. In accordance with white paper published by IBM researchers:
Users can choose a set of supported deep learning frameworks, a neural network model, training data, and cost constraints. The service will then take care of the rest, providing them with an interactive, repetitive AI training experience.
To use the services, users simply need to prepare their data, upload it, and start learning. They can then download the Results of learning their application.
It looks pretty simple and could possibly save weeks programming, according to TNW.
IBM is reportedly working to address the difficulty of training neural networks, or at least reduce development time. According to a post on her blog company:
This deep learning as a service is an experimental learning environment which means users don't have to worry about programming and problem management. Her entire life cycle educationis automatically managed and results can be viewed in real time and reviewed later. Each training launch is automatically started, tracked and stopped after completion, saving users time and money as they can only pay for the resources they use.
The new Deep Learning as a Service (DLaaS) works with its excellent platform Watson. This means it was tested on one of the most advanced AI systems on the planet.
For more information, you can see it IBM blog.
