All TensorFlow Reviews

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User Profile

Shriya

Verified reviewer

Information Technology and Services, 201-500 employees

Used less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

4

Reviewed September 2018

Most advance machine learning library

Building machine learning model from scratch and want full power of customisation then choose this tool.

PROS

I think it is the most advance library for machine learning specially for deep learning. It very easy to write neural network in this library. It comes with lot of inbuilt function to process data. Also, it has lots of prebuilt function which ease the implementation of neural network.

CONS

There is no bad thing about this but initially it takes lot of time to understand it as it works on tensors instead of simple vector or array object. But once you learn this, it will be easy to write code.

Deepak Kumar

Verified reviewer

Information Technology and Services, 201-500 employees

Used less than 2 years

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed January 2019

TensorFlow is must use thing for deep learning

A must use library to develop new algorithm of deep learning as it gives you power to customise everything.

PROS

I think if you are developing something that includes deep learning and some other machine learning technique as well, then you should use TensorFlow. It comes with lot of inbuilt functionality which makes thing easy for deep learning algorithm. It comes with inbuilt data handling/processing techniques which is very useful when developing new algorithm and implementing them.

CONS

Ti has steep learning curve. Understanding it's concept of tensor is not easy to understand. It takes time to learn it completely. And even after learning it, it takes time to develop or write the implementation of deep learning algorithm as you have to write everything by your own.

Anonymous

11-50 employees

Used daily for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

2

EASE OF USE

1

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

2

Reviewed December 2018

Overhyped application

I use tensorflow for machine learning apps to find correlations in the market, but the app has let me down and I have since moved on to other libraries, as tensorFlow was simply to difficult to use.

PROS

Tensorflow is a good library for machine learning, but only for more experienced developpers.

CONS

It is very hyped by the community, but has a teap learning curve and is hard to learn. So the app is not beginner friendly, but also is't the best library for high level machine learning.

User Profile

Prashanga

Verified reviewer

Computer Software, 51-200 employees

Used weekly for less than 2 years

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

4

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

4

FUNCTIONALITY

5

Reviewed March 2021

Tensorflow review after 2 year of use.

TensorFlow helped to Learn and understand the working of any machine learning models. It is simple and easy to use and is very helpful for any new comer to start their machine learning journey.

PROS

TensorFlow is easy to install and use. Machine Learning models are easy to code. Graph visualisation will help to understand the model. TensorFlow has very good community to help solve many problems and can easily learn from different tutorial videos. The cloud support is also affordable for model deployment.

CONS

Requires a lot of cpu power for model training. Visualisation of model can also be improved.

User Profile

Shalinee

Verified reviewer

201-500 employees

Used more than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed July 2018

Made the deep learning kids work

Best library for deep learning

PROS

This library is the best for deep learning. Designing neural network with this library is very easy. Also, it compute things very fast. It has made the visualization very easy. It has lots of built in features like conv2d network, lstm etc.

CONS

It's the best thing to do stuff in deep learning but it require a long learning curve. But once you know how it works then it made your job very easy.

User Profile

Kevin

Verified reviewer

Internet, 10,000+ employees

Used weekly for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

FUNCTIONALITY

5

Reviewed September 2018

Deep learning is easy with TensorFlow

We use tensorflow LSTMs for sequence classification to mine patterns in log and customer behavior. In our use case, deep models decreased testing loss by 50% over a simple baseline.

PROS

Intuitive way to generate networks. Nice visualizations with tensorboard. Good documentation and tutorials. Large supportive community. Easily scaleable.

CONS

Many of the error messages can be cryptic and difficult to use when debugging. Frequent errors caused by data type mismatches. It is not easy to iterate quickly with Tensor flow.

User Profile

Sheikh

Verified reviewer

Electrical/Electronic Manufacturing, 11-50 employees

Used weekly for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

5

Reviewed September 2019

Powerful tool for machine learning, AI or data science researchers

The depth of resources this tool provides makes it inseparable for a researcher of many sectors, at this era of AI.

PROS

GPU utilization helps the projects. TensorBoard is good for model visualization and performance analytics.

CONS

Still requires specific hardware for specific versions. Compatibility with multiprocessing module is low, making it incompatible to combine with parts of codes running on CPU if multiprocessing is required.

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Dr. Jayant

Verified reviewer

Education Management, 201-500 employees

Used weekly for more than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed June 2019

Tensorflow is the best Deep Learning framework preferred by many industries

I have used tensorflow for development of some deep learning applications.

PROS

Tensorflow is preferred by many industries for developing deep learning architecture.

CONS

Programming is little difficult with tensorflow

User Profile

Shambhavi

Verified reviewer

Used less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed July 2018

Writing deep learning algorithm is very easy -- very advance machine learning library

PROS

Implementing deep learning algorithm is very easy. It has lots of built in feature like conv2d, conv3d, lstm etc. which make ML work very easy and faster. Computationally, it is way faster that other ML libraries.

CONS

It take time to learn about this. Understanding the tensor and other data type is non-trivial. But once you learn this it's very easy to use it .

User Profile

Sasitha

Verified reviewer

Information Technology and Services, 2-10 employees

Used more than 2 years

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

5

EASE OF USE

3

VALUE FOR MONEY

5

FUNCTIONALITY

4

Reviewed March 2019

Train models with lot of data

I used google ML engine to train a model with 1 million data. Normal computers not allow to train a model with that much of data.

PROS

we can train models with lot of data which contain millions of data.

CONS

not easy to learn using their documentations.

hasini

Computer Software, 201-500 employees

Used daily for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

5

Reviewed June 2022

A powerful deep learning library that will save your time

Tensorflow is a great deep learning library with so many tutorials. I would like to recommend this to anyone who is willing to use deep learning framework.

PROS

I have applied machine learning with tensorflow library for my university research. I was able to train deep neural network models. It is an open source library which provides visual growth of neural network in the tensorboard. There are multiple algorithms supported by tensorflow like classification and regression. Also this supports many languages like python, JavaScript and Ruby. There is a huge support group for tensorflow and I got a great support from them while I was doing my research.

CONS

It takes some considerable time to understand things and learn things. Complexity is my only concern.

Silviu

Computer Software, 2-10 employees

Used less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed January 2020

A great foundation for Machine Learning

TensorFlow is a great initiative and a great product. It can be intimidating at first, but once mastered it can offer a great advantage. The best part is that it covers a great range of machine learning use cases from supervised to unsupervised learning and great support for lots of languages and integration. Great community support and a great vision ahead.

PROS

First of all, it's free. Secondly, being developed by Google it integrates easily with Google ML the other products. At the time of its release, it has come with great enthusiasm thus it has a great community build around it.

CONS

It is fairly difficult at first, as it brings the whole complexity of working with machine learning. It is very resource-driven and thus the only viable option is using it in the cloud.

Reason for choosing TensorFlow

I started using TensorFlow right when they came on the market, especially because of the Google support. The tools used in production should not "die" down the road and must have enough community support. TensorFlow had that perspective covered.

Anonymous

Used weekly for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed April 2018

A powerful high-level machine learning library!

PROS

Tensorflow is a high-level machine learning library. I can use it to design neural network structures without writing C++ or CUDA18 code in order to get high efficiency. It supports automatically calculating derivative. Tensorflow is implemented with C++ and it uses C++ to simplify online deployment. In addition to C++ interface, it also provides us with Python, Java and Go interfaces.

CONS

Although Python is very powerful and easy to use, using Python with TensorFlow will still cause some efficiency problems. For example, every mini-batch needs to be fed from Python to the network. During this process, when the data size of mini-batch is small or calculation time of is short, it will cause long latency.

Youssef

Computer Software, 51-200 employees

Used weekly for more than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

4

Reviewed June 2022

Tensorflow AI

I have a good experience with Tensorflow. I used it to build many deep learning projects.

PROS

Tensorflow 2 is much better than TensorFlow 1. It is easy to use and deploy models.

CONS

It is hard to build our classes and integrate them with TensorFlow pre-built classes.

Reasons for switching to TensorFlow

Now I am using Pytorch and Tensorflow

Anonymous

10,000+ employees

Used daily for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

FUNCTIONALITY

5

Reviewed March 2022

Great for Machine Learning and Deep Learning tasks

PROS

Supported with python, Allows to control gpu memory usage, tensorboard feature provides nice charts.

CONS

Hard for beginners, difficult to move model files from tesnorFlow v1 to v2 sometimes.

M. Serhat

E-Learning, 1,001-5,000 employees

Used monthly for more than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

3

FUNCTIONALITY

5

Reviewed April 2020

Era of machine learning

If you are planning to kick-start your product idea including machine-learning functionality, then Tensorflow is the first product you should take a look at.

PROS

Huge community, a rich documentation, easy to integrate with other software, free and open-source, powerful features, constantly getting better with community contributions.

CONS

The learning curve is a little bit steep, however, there are many free resources on the Internet. The product is getting lots of changes and contributions from the community, so it's hard to follow what is going on with the product all the time.

Somnath

Computer Software, 1,001-5,000 employees

Used weekly for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed April 2018

Mr

Saved a lot of time by removing the need to maintain VMs.

PROS

I love how it makes Deep Learning simpler by removing the need to maintain VMs. Tensorflow is an amazing framework that does pretty much everything in deep learning.

CONS

Tensorflow has a steep learning curve. More tutorials may be provided for beginners to get them on board.

Jatin

Used weekly for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

4

EASE OF USE

5

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

4

Reviewed January 2018

It was easy to build machine learning models that can work on any types of data and size.

PROS

1. Cost Efficient (Pay as you go) 2. Provide easy way for accessing data and manipulating cloud API to automate Scalable operations

CONS

Calls Per request is bit high. Would be happy if they provided more calls in the free version. Rest it's best in class service.

Arun

Education Management, 201-500 employees

Used daily for less than 6 months

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

4

CUSTOMER SUPPORT

3

FUNCTIONALITY

5

Reviewed September 2023

Feedback

good product

PROS

easy to use. good performance .integration with python is easy

CONS

expensive. AI tools need to be more graphically represented

Anonymous

1,001-5,000 employees

Used weekly for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed November 2018

Best of the Best

PROS

It is the best thing that has ever happened in Machine Learning for Image domain

CONS

Be ready to dive into studying lots of research papers to work with it. as you will get addicted to TF, as I got.

Mario

Higher Education, 501-1,000 employees

Used weekly for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

4

CUSTOMER SUPPORT

2

FUNCTIONALITY

4

Reviewed February 2019

Speech to Text and Sentiment Analysis

PROS

It is very easy and have python code examples to get faster deployment of own apps.

CONS

When you use the sentiment analysis machine learning module you have to generate a json credentials file, then it could be some insecure when you are making a stand alone application.

Anonymous

11-50 employees

Used weekly for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

4

EASE OF USE

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

4

Reviewed February 2019

Over hyped and very complicated

I used it for as our machine learning library, but moved on to better libraries.

PROS

It can be used for making medium level machine learning programs and it isn't bad at it.

CONS

It has a really steep learning curve and there are better libraries that outperform Tensorflow.

Sam

E-Learning, 1 employee

Used weekly for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

3

VALUE FOR MONEY

5

FUNCTIONALITY

5

Reviewed December 2018

top AI available for consumers!!!

PROS

very very very accurate and almost smarter than i am! better than any other AI on it's level

CONS

it's not very user friendly and takes a bit to get it going

Holli

Health, Wellness and Fitness, 2-10 employees

Used less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

4

EASE OF USE

4

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

4

Reviewed March 2019

Cloud ml engine

Great!

PROS

I like that it's great for training. And that you can use it together or individually!

CONS

I dont have anything negative tosl say. I enjoy this alot!

Anonymous

51-200 employees

Used monthly for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

5

CUSTOMER SUPPORT

4

FUNCTIONALITY

5

Reviewed February 2019

An extensive open source library for Deep Learning and AI

It is a great tool for folks in research, academics and industry working on the next generation of machine learning applications

PROS

I have used TensorFlow to solve computer vision problems in my research. It offers an extensive open source platform to train datasets and deploy ML models and neural networks.

CONS

It can be challenging as a beginner to get used to writing the code and to understand the tensor concepts

Showing 1 - 25 of 103 Reviews