At the Think 2018 conference in Las Vegas, AI Developers welcome the announcement of Deep Learning as a Service.
The announcement was made by IBM at the conference in Las Vegas on Tuesday. Called as Deep Learning as a Service (DLaaS) program, this new cloud integration and security services is available within IBM's Watson Studio for Artificial Intelligence (AI) Developers. With this service, AI developers design complex neural networks then experiment at scale to deploy optimized deep learning models, within Watson Studio. The introduction of the Deep Learning service does not mean this is the first-time IBM has ever had a deep learning offering (or used deep learning in its Watson services). IBM offered an on-premise version of Deep Learning for quite some time, but this is the first time IBM offers a deep learning service on the cloud. Plus IBM continues to provide deep learning-based services to application developers with the Watson Developer Cloud. IBM delivers deep learning through IBM Watson Machine Learning service which is integrated into IBM Watson Studio. The Neural Network Modeler works within the deep learning service. Data scientists, developers and business users can design their neural models through a drag-and-drop process without code. The Neural Network Modeler generates the code from one of the user’s preferred frameworks such as TensorFlow, Keras, PyTorch or Caffe. IBM’s deep learning offering differs from competitors in numerous ways:
Here how Tanmay Bakshi explain the model
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