TensorFlow Reviews & Product Details

TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platforms. It provides a comprehensive ecosystem that supports tasks ranging from simple data flow graphs to complex neural networks, enabling developers and researchers to build and deploy machine learning applications efficiently. Key Features and Functionality: - Flexible Architecture: TensorFlow's architecture allows for deployment across multiple platforms, including CPUs, GPUs, and TPUs, and supports various operating systems such as Linux, macOS, Windows, Android, and JavaScript. - Multiple Language Support: While primarily offering a Python API, TensorFlow also provides support for other languages, including C++, Java, and JavaScript, catering to a diverse developer community. - High-Level APIs: TensorFlow includes high-level APIs like Keras, which simplify the process of building and training models, making machine learning more accessible to beginners and efficient for experts. - Eager Execution: This feature allows for immediate evaluation of operations, facilitating intuitive debugging and dynamic graph building. - Distributed Computing: TensorFlow supports distributed training, enabling the scaling of machine learning models across multiple devices and servers without significant code modifications. Primary Value and Solutions Provided: TensorFlow addresses the challenges of developing and deploying machine learning models by offering a unified, scalable, and flexible platform. It streamlines the workflow from model conception to deployment, reducing the complexity associated with machine learning projects. By supporting a wide range of platforms and languages, TensorFlow empowers users to implement machine learning solutions in diverse environments, from research labs to production systems. Its comprehensive suite of tools and libraries accelerates the development process, fosters innovation, and enables the creation of sophisticated models that can tackle real-world problems effectively.

Seller

TensorFlow

Discussions

TensorFlow Community

Value at a Glance

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

11 months

View More Pricing Information

Top-Rated Alternatives

MATLAB

4.5/5

(748)

Gemini Enterprise Agent Platform

View All Alternatives

TensorFlow Integrations

(5)

Integration information sourced from real user reviews.

G2 reviews are authentic and verified.

Here's how.

Gaurav .

AI Software Engineer

Small-Business (50 or fewer emp.)

9/11/2023

"What an amazing library"

5/5

What do you like best about TensorFlow?

The way it handles the data and the community support it has is a god sent. Developing and maintaining the code base is really easy with tensorflow. And with v2 it's just amazing. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

I think for a person just entering the industry it's somewhat difficult to understand. Sometimes the documentation is really confusing and you have to search if someone has explained it for you to understand it better. Review collected by and hosted on G2.com.

ARUNACHALAM K.

Engineer 1-Software

Enterprise (> 1000 emp.)

10/13/2023

"Tensorflow the deep learning tool"

4.5/5

What do you like best about TensorFlow?

The libraries available in that library ,the convince it provides for creating Neural network model . Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

No dislikes ,it's the best tool for Deep Learning Review collected by and hosted on G2.com.

Yash R.

Full Stack Developer

Small-Business (50 or fewer emp.)

2/20/2023

"Train complex Machine learning model with ease by using tensorflow !"

4.5/5

What do you like best about TensorFlow?

TensorFlow is flexible. It provides a platform for building and deploying machine learning models across a wide range of devices and media, and Tensorflow is really scalable, running on a single device to distributed systems with thousands of GPUs Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

A few things I dislike about TensorFlow are it is resource intensive; TensorFlow is really resource intensive. It requires high computational power and a powerful GPU. the second thing is the learning curve TensorFlow can have a steep learning curve for beginners due to its complexity Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

6/5/2023

"Tensorflow is the key to AI"

5/5

What do you like best about TensorFlow?

Tensorflow is the best library to work with neural networks and building model architecture. The functional API along with other functionalities makes it easy to define any model from easy to complex and train with ease. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Tensorflow needs to add some development in context of memory. In order to deploy any model it takes around 400mb memory for just tensorflow lib. This is the only part which holds me back sometimes. Review collected by and hosted on G2.com.

Shraval V.

ISA

Mid-Market (51-1000 emp.)

12/7/2022

"A solid framework for deep neural networks"

4/5

What do you like best about TensorFlow?

One of the best features of Tensorflow is its ability to perform multicore training of models. Unlike the old frameworks, TF doesn't rely on single CPU training rather it allows distributed training of models which drastically decreases the training time we have several GBs of images to be trained for diffusion models. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

When developers are using Windows for development there are certain issues with the Python pip packages that are part of TF. There is no native support for Decision forests which is one of the most popular packages that is supported by other frameworks. I train la Review collected by and hosted on G2.com.

Suvhradip G.

Software Engineer

Mid-Market (51-1000 emp.)

4/13/2023

"Worked with computer vision project using tensorflow"

4.5/5

What do you like best about TensorFlow?

In tensorflow there have lots of methods for many purpose. And in tf you can do anything about deep learning. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Tensorflow can build own UI for managing models and all. Review collected by and hosted on G2.com.

Erick S.

Student

Small-Business (50 or fewer emp.)

12/21/2022

"Excellent Machine Learning Library"

4.5/5

What do you like best about TensorFlow?

Tensorflow has several intuitive methods for implementing machine learning algorithms. I personally like to use the image classification section to understand how to detect patterns in supervised data. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

I think there is still some room for improvement in terms of readability. In particular, it feels like many of TensorFlow's commands don't follow a "pythonic" pattern. Review collected by and hosted on G2.com.

Abhuday T.

Assistant Professor

Small-Business (50 or fewer emp.)

1/15/2023

"a gpu based deep learning library by Google for python,c++ and java programmer."

4.5/5

What do you like best about TensorFlow?

It provides all the recent algorithms that can run on a Convolutional neural network model. It provides training algorithms, metrics and optimizers for the deep learning algorithm. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Python version of TensorFlow runs only on GPU-based processors. Review collected by and hosted on G2.com.

Navaneeth M.

Educator and Mentor

Small-Business (50 or fewer emp.)

6/28/2022

"TensorFlow: Beginner friendly and Production Ready"

5/5

What do you like best about TensorFlow?

Easy to get started with. The TensorFlow ecosystem provides support tools to load data efficiently (TF Dataloaders) , build models (Keras), Optimize it (TF Lite), and Deploy and monitor (TFX) and it is production-ready. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

One concern I have is inconsistent APIs and functions. Confusion with TF 1 and TF 2. Lots of duplicate and redundant methods. Code customization for research purposes. Review collected by and hosted on G2.com.

Sanket M.

Media Lead - CodeChef CGC Chapter

Small-Business (50 or fewer emp.)

2/15/2022

"Easy to use and has a lot of inbuilt functionality and support for algorithms"

5/5

What do you like best about TensorFlow?

Tensorflow is an excellent library for implementing linear algebra equations and algorithms. It also has Keras as its inbuilt module, a perfect module for deep learning and implementing neural network models.

I use it majorly for implementing and training deep learning models. It provides high customizability for defining our loss functions, activation functions, etc. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

The Keras interface provided inside TensorFlow is not the same as externally importing Keras. There are a few differences which can someone comfortable with Keras make several mistakes while developing using Tensorflow.

It also sometimes shows some errors which are easy to understand and often not even related to the code, but the running environment/kernel instead. Review collected by and hosted on G2.com.

Recommendations to others considering TensorFlow:

If you are willing to get started with deep learning and deep neural networks, Tensorflow is one of the best options due to its applications, usability, and ease of use. Review collected by and hosted on G2.com.

What problems is TensorFlow solving and how is that benefiting you?

Implementing deep neural networks is straightforward. Implementing non-linear neural networks also becomes more accessible through the functional interface provided by the module.

The ability to implement custom algorithms to be used with neural networks also helps when writing research papers or implementing one. Review collected by and hosted on G2.com.