Understand how deep learning platform works |
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By: Robert Keller Posted: 2018-07-24 07:45:14 |
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ClusterOne is the largest deep learning platform developed with an aim to help machine learning teams engaged in development of AI applications. It is easy to import data and code on the ClusterOne to run your projects as smooth as possible. The structure of this largest deep learning platform is very simple and the structure consists of three major elements:
• Projects • Datasets • JobsProjects and Datasets are required to complete a job. The project section contains your code that needs to run. Datasets contain the data that is important to work over the models. And Jobs run your project code. Before you start to run your job, you need to create a project and dataset. ClusterOne stores datasets separately from the project code. You can also use the existing data on this deep learning platform or if you want to upload yours then it is also possible. You can upload any size of data on the platform with no hassle. Deep learning is the branch of machine learning. This is the learning about several levels of representation and abstraction to make sense of data. Data could be in the form of text, images or sound. It will be quite easy, simple and quick for you to manage everything for your project on this platform. If you are looking for the best deep learning platform then nothing could be better than ClusterOne. It is most flexible platform for all the demands of machine learning teams working over complex projects. ClusterOne also support to scale artificial intelligence or we can say it has great relation with AI. ClusterOne is also good option for distributed machine learning and this easy to use platform has brought endless solutions for human beings. If you want to use ClusterOne then you can begin with creating celebrity faces using a DCGAN. Here is one another demo to tell you how to run TensorFlow models on ClusterOne based on MNIST handwritten digit dataset. Working with ClusterOne is really very easy and if you want to streamline your TensorFlow projects then this is the best platform to work on. It provides great flexibility to users to deal with data and models. Apart from this, you can run ClusterOne on all the infrastructures with no hassle. The innovation of this largest machine learning platform makes machine learning tasks on big data highly scalable, efficient and flexible. You can easily deploy models or can handle your projects with this most powerful platform. It was initially designed to support TensorFlow only but now it is supporting to all the popular AI frameworks. So, you can use it for any kind and size of project you are dealing with. |
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