TensorFlow Description

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

Pricing

Pricing Starts At:
Free
Free Version:
Yes

Integrations

API:
Yes, TensorFlow has an API
View Integrations

Reviews - 2 Verified Reviews

Total
ease
features
design
support
See More Reviews Write a Review

Company Details

Company:
TensorFlow
Year Founded:
2015
Headquarters:
United States
Website:
www.tensorflow.org

Media

Play Video TensorFlow Screenshot 1
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Product Details

Platforms
SaaS
Windows
Mac
Linux
On-Premises
Type of Training
Documentation
Videos
Customer Support
Online

TensorFlow Features and Options

Machine Learning Software

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

TensorFlow Lists

TensorFlow User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Yearly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Open source machine learning platform

    Date: Aug 03 2022

    Summary: TensorFlow makes Machine Learning technology available to developers at all levels of coding. It is easily deployable to many different types of environments and extensible through APIs like Keris.

    Positive: - free, open source library that develops and trains machine learning models
    - can be run on Colab or other cloud compute notebooks in the browser on any device
    - can be accessed through high-level APIs like Keris to make coding and debugging easier
    - can be run in JavaScript, or on mobile and embedded devices
    - incredible documentation, including tutorials and videos

    Negative: - while it's easy to get started with TensorFlow, it becomes much more difficult to use for advanced projects

    Read More...
  • Name: Anonymous (Verified)
    Job Title: COO
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Really cool

    Date: Jul 21 2022

    Summary: Overall I highly recommend TensorFlow to machine learning professionals, data scientists, and anyone interested in machine learning and building machine learning models.

    Positive: TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

    Negative: Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

    Read More...