Audience

Organizations interested in a powerful open source machine learning platform

About TensorFlow

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Other Popular Alternatives & Related Software
Amazon Rekognition
Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
Learn more
Dialogflow
Dialogflow
(4 Ratings)
Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
Learn more
BentoML
BentoML
Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.
Learn more
ONNX
ONNX
ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Develop in your preferred framework without worrying about downstream inferencing implications. ONNX enables you to use your preferred framework with your chosen inference engine. ONNX makes it easier to access hardware optimizations. Use ONNX-compatible runtimes and libraries designed to maximize performance across hardware. Our active community thrives under our open governance structure, which provides transparency and inclusion. We encourage you to engage and contribute.
Learn more

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, TensorFlow offers API access
See Integrations

Ratings/Reviews - 2 User Reviews

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5
More Reviews Write a Review

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Videos and Screen Captures

Play Video TensorFlow Screenshot 1
Other Useful Business Software
Enterprise-grade ITSM, for every business Icon
Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Try it Free

Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Videos
Support
Online

TensorFlow Frequently Asked Questions

Q: What kinds of users and organization types does TensorFlow work with?
Q: What languages does TensorFlow support in their product?
Q: What kind of support options does TensorFlow offer?
Q: What other applications or services does TensorFlow integrate with?
Q: Does TensorFlow have an API?
Q: What type of training does TensorFlow provide?
Q: How much does TensorFlow cost?

TensorFlow Product Features

Machine Learning

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

TensorFlow Additional Categories

TensorFlow Verified User Reviews

Write a Review
  • A TensorFlow User
    Principal Software Engineer
    Used the software for: Less than 6 months
    Frequency of Use: Yearly
    User Role: User
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Open source machine learning platform"

    Posted 2022-08-03

    Pros: - 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

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

    Overall: 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.

    Read More...
  • A TensorFlow User
    COO
    Used the software for: 6-12 Months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 26 - 99
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Really cool"

    Posted 2022-07-21

    Pros: 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.

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

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

    Read More...
  • Previous
  • You're on page 1
  • Next