Related Topics: Artificial Intelligence Journal


The best machine learning cloud platform by Good AI Lab

There are number of things we use in routine are made possible due to artificial intelligence

Machine learning is the complex area where the machine learning teams deal with models and huge data sets. It is complicated task requires great expertise and there are several frameworks they may use. Basically, machine learning is motorized by algorithms which are trained to identify the patterns of Data. However, machine learning is not an easy task but it has great importance in artificial intelligence applications. Various AI applications are developed through deep learning and these applications have made the life of human beings very easy and simple.

There are number of things we use in routine are made possible due to artificial intelligence. Today, self driving car, video games, fraud detection, online customer support, and many more things are being possible due to AI. These applications are designed in the unique machine learning frameworks and to run these frameworks, there are several machine learning cloud platform.

You can enhance your applications with integrated ML platform. Such platforms work as a service and enable the ML teams to carry out the tasks in efficient and effective way. Using such software will make your process more efficient, cost-effective and fast. TensorFlow is the open source library to develop AI applications and if you are working on TensorFlow projects and need the platform to streamline then use TensorPort. It is the most flexible and highly effective ML platform with endless features can easily and flexibly complete your project.

TensorPort basically works to get faster the Computation and work on TensorFlow. Let’s first understand Tensor flow and its work. TensorFlow is an open source software library for Artificial Intelligence. It is used for Numerical Computations with the use of data flow graphs. It is used for both research and product. And TensorPort is uniquely designed for TensorFlow and closely integrated with this framework to optimize the results. It is designed by Good AI Lab that is on mission to scale artificial intelligence and to get better the life of people. There are number of features of TensorPort including:

  • Distributed computing
  • Reproducibility
  • Collaboration
  • Flexibility
  • Integration
  • Model Serving

The platform is integrated with TensorFlow so that these projects can be completed successfully. Apart from TensorFlow, it is also integrated with TensorBoard, Hyperparameter tuning, notifications and other workflow tools. This is really the good choice for machine learning teams who are engaged in developing AI applications. These AI applications have revolutionized the way how human beings live and carry out their routine activities. If you want to know more about Good AI Lab and the products it has produced then is the right place. Here, you will get detail of this artificial intelligence cloud platform and the way to use it.

More Stories By Carol Davis

Carol Davis is an experienced content writer who has written numerous articles on Machine learning cloud platform, Scale artificial intelligence and much more. To read all those articles you can click here: