ML.NETMicrosoft
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TensorBoardTensorflow
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Related Products
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About
ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.
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About
TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
.NET developers searching for a tool to incorporate machine learning capabilities into their applications using familiar languages and tools
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Audience
Developers looking for a solution to optimize their TensorFlow programs
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationMicrosoft
Founded: 1975
United States
dotnet.microsoft.com/en-us/apps/ai/ml-dotnet
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Company InformationTensorflow
United States
www.tensorflow.org/tensorboard
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
TensorFlow
Supported
.NET
Supported
Bing
Supported
C#
Supported
Dataoorts GPU Cloud
Not Supported
F#
Supported
GitHub
Not Supported
Google Cloud AutoML
Supported
Google Colab
Not Supported
LLaMA-Factory
Not Supported
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Integrations
TensorFlow
Supported
.NET
Not Supported
Bing
Not Supported
C#
Not Supported
Dataoorts GPU Cloud
Supported
F#
Not Supported
GitHub
Supported
Google Cloud AutoML
Not Supported
Google Colab
Supported
LLaMA-Factory
Supported
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