- What is TensorFlow
- Product Quality Score
- Main Features
- List of Benefits
- Technical Specifications
- Available Integrations
- Customer Support
- Pricing Plans
- Other Popular Software Reviews
What is TensorFlow?TensorFlow is a symbolic math library built for machine learning operations. Once exclusive to Google Brain, this app is now an open-source platform that receives continuous updates and is extensively used. TensorFlow can handle tasks like supplying precise search results, identify places in photos and voices, and providing on-point translations. While the app has mostly been used for Google apps, TensorFlow has been trusted for many tasks and uses after its open source transition. The app allows teams and users to create their own smart apps and obtain intelligent output based on data and foundations that make sense.
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Main features of TensorFlow are:
- Jupyter Notebooks
- Serving System
- Third-Party Packages
- Transfer Learning
The main benefits of TensorFlow are its high-quality development history which translates to most of its features, continuous updates, and its open source compatibility which makes its output flexible for any other app
The first TensorFlow version 1.0 was released back in February 2017, and along with it is a large toolset of fresh and advanced features. As a Google team and a slew of external contributors worked on this app, developers and users worldwide can have access to the best innovations in machine learning and cognitive reasoning.
TensorFlow is best on GPUs but the app can take power from CPUs without any dedicated graphics processor. This feature allows developers and programmers with few resources to make projects on this platform.
Moreover, TensorFlow can be used on Android and iOS devices. Developers that are always on the move or those who want to make models for mobile viewing can do so easily with this app.
TensorFlow has recently added eager execution into its systems. This tool simplifies the debugging process and makes building and training dynamics graphs. Adding to these advantages, users can easily check and debug their graphs and even use the Python control flow as part of the platform’s APIs.
TensorFlow is supported by a large ecosystem containing many tools and software libraries that help developers work efficiently. One of these tools is the TensorBoard, a large host of web apps that can drill down on graph subsections and check on their details.
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The following TensorFlow integrations are currently offered by the vendor:
TensorFlow pricing is available in the following plans: