Introducing G2.ai, the future of software buying.Try now
Product Avatar Image

TensorFlow

Show rating breakdown
134 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.5
Serving customers since
2016
Profile Filters

All Products & Services

Profile Name

Star Rating

101
30
3
0
0

TensorFlow Reviews

Review Filters
Profile Name
Star Rating
101
30
3
0
0
Pradeepa K.
PK
Pradeepa K.
Data Analyst @ Hitachi | Power Platforms Developer | MBA ITSM @ NMIMS Global
12/06/2025
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Tensorflow to do the magic in Machine Learning

Video related built in functions are a great addition
Ajju B.
AB
Ajju B.
12/01/2025
Validated Reviewer
Review source: Organic

Powerful Framework with Comprehensive Ecosystem

I appreciate TensorFlow for its scalability and flexibility, especially through high-level APIs like Keras, which simplify complex processes and make building and training deep neural networks more manageable. The comprehensive ecosystem of tools and libraries it offers is invaluable, helping to abstract much of the underlying complexity typically involved in such tasks. Additionally, I find the community support around TensorFlow incredibly beneficial, providing a steady stream of updates, resources, and shared knowledge that enhance the overall usability of the platform. I also enjoy how easy the initial setup was by simply following the provided instructions. The integration of external programming tools with TensorFlow through APIs and specialized libraries contributes significantly to my workflow by managing tasks like visualization, model analysis, and deployment. Furthermore, transitioning to TensorFlow from PyTorch has been advantageous due to the appealing libraries such as Keras and TensorFlow Extended, which offer more varieties and functionalities that align with my needs.
Ben F.
BF
Ben F.
--ABESIT
11/30/2025
Validated Reviewer
Review source: Organic

Scalable and Flexible, But Needs Better Windows Support

I appreciate TensorFlow for its scalability and flexibility, which makes it adept at handling both small and large-scale machine learning projects. I love the robust performance it offers, which is essential for deep learning models. The Keras API is a particular favorite of mine because it allows for rapid model development, enhancing my productivity significantly. I find TensorBoard invaluable for visualization and debugging, offering deep insights into model training processes. The deployment ecosystem that includes TensorFlow Lite, TensorFlow.js, and TensorFlow Serving is fantastic, allowing efficient model deployment across various platforms. I also appreciate the straightforward initial setup process using Python's package installer, making it accessible and easy to get started. The integration of TensorFlow with a variety of other tools enhances my machine learning workflow considerably.

About

Contact

HQ Location:
Centre Urbain Nord, TN

Social

@TensorFlow

What is TensorFlow?

TensorFlow is an open-source software library developed by the Google Brain team that enables developers and researchers to build and train machine learning models efficiently and effectively. Designed with flexibility and scalability in mind, TensorFlow supports a range of tasks primarily focused on training and inference of deep neural networks. It supports various programming languages, including Python, which is the most commonly used.TensorFlow provides comprehensive tools, libraries, and community resources that allow researchers to advance ML technology and developers to easily build and deploy ML-powered applications. It is known for its robust support of both CPU and GPU computation, which allows for the distributed processing necessary for large-scale neural networks.Beyond its core capabilities for creating sophisticated machine learning models, TensorFlow also offers TensorFlow Extended (TFX) for production environments, TensorFlow Lite for mobile and embedded deployments, and TensorFlow.js for machine learning in the browser or on Node.js.TensorFlow's extensive features and ongoing evolution make it a preferred choice for both academia and industry, powering projects from small-scale applications to large-scale enterprise solutions.Explore more about TensorFlow and its capabilities by visiting [https://www.tensorflow.org](https://www.tensorflow.org).

Details

Year Founded
2016