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FloydHub
FloydHub

6
7
+ 1
0
Gradient°
Gradient°

3
9
+ 1
0
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FloydHub vs Gradient°: What are the differences?

FloydHub: Heroku for Deep Learning. Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem; Gradient°: Deep learning platform built for developers. Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.

FloydHub and Gradient° can be categorized as "Machine Learning as a Service" tools.

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What is FloydHub?

Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.

What is Gradient°?

Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.
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            What tools integrate with FloydHub?
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              What are some alternatives to FloydHub and Gradient°?
              Paperspace
              It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.
              Azure Machine Learning
              Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
              Amazon Machine Learning
              This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
              Amazon SageMaker
              A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
              NanoNets
              Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
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              How developers use FloydHub and Gradient°
              Avatar of Mark Melnykowycz
              Mark Melnykowycz uses FloydHubFloydHub

              Easy way to scale data science projects from laptop to the cloud to utilize GPU processing power and access key data training sets without downloading to your local machine.

              How much does FloydHub cost?
              How much does Gradient° cost?
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