A look at Deep learning platform and its features
AI is the new technology to improve the existing cloud platforms but also to improve the prospective cloud platforms. TensorFlow is the open source library of the machine learning. Its main aim is to develop a system which detects patterns and correlation just like human beings. TensorFlow is the machine learning library and it uses the equipments of the data scientists in order to develop intelligent systems. It is basically the interface which is used to express and implement the machine learning algorithms. It runs on every platform. ClusterOne is the flexible, portable and unique artificial intelligence cloud platform suitable for all types of the applications.
Tasks performed by the TensorFlow:
- Information retrieval
- Simulations
- Speech recognition
- Computer logics
- Natural language processing
- Geographical information extraction
ClusterOne and their features:
ClusterOne is a deep learning platform designed by the scientists and engineers for the machine learning teams. It has more than many features and few are described below:
Scalability: Scalability is the important feature of the Tensor port is that it helps to increase or decrease the resources according to one’s convenience.
Cost effective: In this case, one has to pay for the resources which he or she used. There is no need of extra payment for the unused resources.
Saving in Scale: In this, one can use the several services with the same resource, which ultimately a good source of economies in scale.
Reliability: ClusterOne is not easy to use but has best results in terms of the reliability. Services are hosted on several servers. There is no discontinuation of the work if server is down.
Flexibility: There is greater level of security and management and it is suitable for all type of the business. This kind of flexibility cannot be found in any other system.