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Managed Services for TensorFlow & Jupyter

AOpen-Source Tools for Machine Learning and Interactive Computing.


Machine Learning Managed Services -TensorFlow

TensorFlow is an open source software for numerical computation using data-flow graphs.

TensorFlow is cross-platform. It runs on nearly everything, GPUs and CPUs including mobile and embedded platforms and even tensors processing units, which are specialised hardware to do the tensor math on.

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.

Jupyter Notebook can be used for Data Cleaning, Data Transformation, Numerical Simulation, Statistical Modeling, Data Visualization, Machine Learning, and more.

  • GPU/CPU computing
  • Statistical Distribution
  • High-level Estimators
XenonStack TensorFlow Enterprise Services Image

Enterprise Services for TensorFlow & Jupyter


Statistical Distribution

A statistical distributions functions are provided by TensorFlow, including but not limited to distributions like Bernoulli, Beta, Chi2, Dirichlet, Gamma, Uniform, etc.


High-level Estimators

TF Learn is a top-level module inside TensorFlow that provides the number of machine learning algorithms inside its estimator's module.



TensorFlow has high standards for measurement and transparency. Optimization can often be model-specific, but some general guidelines can often make a big difference.

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