TensorFlow Ratings

Overall
4.5/5
Ease of Use
4/5
Customer Service
4.5/5

About TensorFlow

An open-source platform that allows developers, businesses and researchers to build and deploy machine learning algorithms. Learn more about TensorFlow

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Length of Use
Frequency of Use
Verified Reviewer
Biotechnology, 5001-10,000 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
February 15, 2019

“popular machine learning platform with great functionality”

Overalltrying to get a jumpstart on a machine learning platform - preferably open sourced since there will be a community and we can learn/contribute along with community.
Prosmultiple GPU support availability, ability to queue data prior to loading for graphs, ability to visualize graphs during the process of data modeling to enable faster debugging and logging events on tensorboard for quick sanity checks are some of the stand out features.
Consat times, we run into an issue when dealing with variable length sequencing inputs in recurring neural networks. Also puts a strain on performance and memory when dealing with a large data set and slows down.
Reviewer Source 
Source: Capterra
February 15, 2019
Ben W.
Software Engineer
Computer Software, 11-50 employees
Used the software for: Less than 6 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
September 27, 2019

“Relatively Straightforward Deep Learning Framework”

OverallHuman pattern recognization, image recognization. Habits and trends.
ProsThe 2.0 version is easy to set up and there are a lot of APIs that are integrated for using various programming languages to do the same thing. I personally have been using python with this application and have had very little problems getting going. There are a lot of tutorials on getting started, some good data available for free to assist with the learning process. Everything can be run locally which makes it easy to expand on-site. Cloud options are also affordable.
ConsThe learning curve is a bit steep. This isn't specifically an issue because of TensorFlow itself, the idea of neural networks are not simple. TensorFlow has made improvements on 2.0, that make it easier to use compared to previous versions.
Reviewer Source 
Source: Capterra
September 27, 2019
Luigi V.
Computer Engineer
Defense & Space, 51-200 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
3/5
Features
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
September 27, 2019

“ML must have”

OverallDefinitely my first option when neural networks are involved in my personal and professional research. Furthermore it also has High-Level API (Keras) which make everything easier.
ProsMastering tenworflow unlocks in you all the possibilities you can have with the current Machine Learning techniques. Data Science, Computer Vision, Machine Learning, NLP...name any area of research of AI, tensorflow can easily handle it.
ConsIt might be a little too complicated at first, especially if you are a beginner of Neural Networks. But sticking with it will give you the ability to interact with it.
Reviewer Source 
Source: Capterra
September 27, 2019
Verified Reviewer
Computer Software, 51-200 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
March 7, 2018

“Tensorflow is the future of our business, and likely the future of machine learning modeling.”

OverallTensorflow is the future of machine learning modeling. There is no way around that and we as a company are fortunate to bring this technology to the forefront.
ProsTensorflow is the easiest way to implement machine learning software into your product/business. The repository is colossal and there is an abundance of support within the community alone. Tensorflow is updating regularly and will continue to grow in the years to come.
ConsHardware is a common bottleneck in machine learning software. We have built out dedicated computing space just for our tensorflow models and will have to continue to upgrade and expand that space. It's just the nature of the business.
Reviewer Source 
Source: Capterra
March 7, 2018
Verified Reviewer
Retail, Unspecified
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
3/5
Features
4/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
May 2, 2018

“Gold standard for ML libraries”

OverallTensorflow is a one stop shop for most machine learning applications. The ease of use isn't really there but once you learn the processes required, everything falls into place. We use it to train various machine learning models and couldn't be happier.
ProsThis is the industry leading machine learning library. It's essential for any deep learning models you're looking to implement. The repository is large and very thorough. We've trained many datasets on various models using tensorflow and couldn't be happier.
ConsIt's not easy to use. This is the case for most emerging technologies though, the learning curve is dramatic but such is the cost of new tech.
Reviewer Source 
Source: Capterra
May 2, 2018
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Jose Antonio M.
Technical Support Engineer
Telecommunications, 201-500 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
July 19, 2019

“Best Machine Learning Framework”

ProsI have implemented this on my personal projects, and it gives the desired results, as a Google product it has tons of documentation, so we can easily learn how to use it. The support community has a lot of good resources where everyone can go ahead and ask or search for the answers.
ConsThe learning curve, as all the frameworks we needed to search for documentation. Besides that this product it's awesome.
Reviewer Source 
Source: Capterra
July 19, 2019
Avatar Image
Scott W. D.
Deep Learning and Data Engineer
Management Consulting, Self-employed
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
September 4, 2018

“A Machine and Deep Learner must have Library”

ProsThis Library is very flexible for doing Matrices and Tensor So building very deep high level but quick and scalable ready to use neural networks is at your finger tips. The added other Anaconda Library and Keras compatibility
ConsDepreciation of the code is frustrating. To use one form just to throw a Error message.
Reviewer Source 
Source: Capterra
September 4, 2018
Avatar Image
Thomas Y.
Owner, previous CEO
Unspecified
Used the software for: 2+ years
Overall Rating
4/5
Ease of Use
2/5
Customer Service
1/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
7/10
Reviewer Source 
Source: Capterra
April 26, 2018

“TensorFlow is useful, although it requires a healthy time commitment to produce accurate models”

OverallThe benefits I received from this software is more accurate modeling and an interesting insight into what makes one software better than another. TensorFlow did for me what it says it does - produce high quality models, such as neural networks, with a lot of human capital input.
ProsTensorFlow is fascinating in seeing how it produces results in a reasonable time frame. It is completely flexible compared to its costly competitors. The software connects well with various data sources and in setting up scripts to run automatically.
ConsTensorFlow takes a lot of time to become an expert in what it is doing. The programming time-commitment might not be worth it unless you plan on customizing your modeling to work with other software.
Reviewer Source 
Source: Capterra
April 26, 2018
Avatar Image
Esra K.
Research and Development Director
Unspecified
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
2/5
Customer Service
4/5
Features
5/5
Value for Money
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
May 11, 2018

“Very helpful in the new world of machine learning.”

OverallYou will learn a lot from TensorFlow. It is a good way of entering the machine learning world.
ProsI used TensorFlow on AWS which was easier with all the infrastructure AWS built. It was a good start to machine learning with all the AI and neural network popularity going on these days. It was challenging and exciting to prepare datasets, train them and see the satisfactory results in dashboard. It is also open source and this gives an advantage to TensorFlow.
ConsThere is a long and challenging learning period. Documentation is rich but it would be so much better to learn and use it with some visual aids.
Reviewer Source 
Source: Capterra
May 11, 2018
Deepak Kumar S.
Quality Assurance Engineer
Information Technology and Services, 201-500 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
January 1, 2019

“TensorFlow is must use thing for deep learning”

OverallA must use library to develop new algorithm of deep learning as it gives you power to customise everything.
ProsI 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.
ConsTi 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.
Reviewer Source 
Source: Capterra
January 1, 2019
Avatar Image
Volodin A.
Freelancer
Computer Software, 201-500 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
December 11, 2018

“Best performance for ML tasks”

OverallI often work with ML engine, and it appears very complex to me. Because of that I suggest Newbies to start with AutoML first.
ProsML and AutoML by google dramatically simplify work of Machine Learning developers, in my opinion. Google provides a complete infrastructure that can import export, train and deploy model within the ML environment. On the other hand AutoML provides even more simplicity with operations.
ConsIt is often difficult to implement ML solution and require time and efforts that are not always available due to certain constraints.
Reviewer Source 
Source: Capterra
December 11, 2018
Verified Reviewer
Computer Software, 1-10 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
3/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
7/10
Reviewer Source 
Source: Capterra
May 17, 2019

“Tensorflow review ”

OverallBuilt an image classifier
ProsIt's fast, can be deployed on different platforms and has multiple functionalities, it's mostly used for research works
ConsIt's not too easy to learn, project done using tensorflow are not always production ready
Reviewer Source 
Source: Capterra
May 17, 2019
Verified Reviewer
Higher Education, Unspecified
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Reviewer Source 
Source: Capterra
April 19, 2018

“A powerful high-level machine learning library!”

ProsTensorflow 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.
ConsAlthough 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.
Reviewer Source 
Source: Capterra
April 19, 2018
Avatar Image
Shriya B.
Android Developer
Information Technology and Services, 201-500 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
5/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
September 3, 2018

“Most advance machine learning library”

OverallBuilding machine learning model from scratch and want full power of customisation then choose this tool.
ProsI 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.
ConsThere 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.
Reviewer Source 
Source: Capterra
September 3, 2018
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Shalinee S.
Web UI Developer
201-500 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
July 11, 2018

“Made the deep learning kids work”

OverallBest library for deep learning
ProsThis 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.
ConsIt'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.
Reviewer Source 
Source: Capterra
July 11, 2018
Bhargavi C.
Student
Computer Software, 10,001+ employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
March 29, 2018

“Rapid prototyping of neural network models which is a great learning resource for students”

OverallRich community support and learning resources.
ProsHas rich resources to support and help in learning the nuances of Neural Networks and Deep Learning and helps in rapid initial prototyping
ConsHas a steep initial learning curve and is not high level programming system like Pytorch. Would require more effort in defining the the different modules of the project.
Reviewer Source 
Source: Capterra
March 29, 2018
Verified Reviewer
Computer Software, Self-employed
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
September 16, 2019

“Review about Tensorflow”

OverallI have used it to my image processing and machine learning tasks
ProsIt has grate graph visualizations facility and multiple language support than other libraries. And also faster than Torch and Theano backends.
ConsThe development team frequently release versions. This rapid changes make difficulties to follow the code.
Reviewer Source 
Source: Capterra
September 16, 2019
Verified Reviewer
Automotive, 1-10 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Features
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
September 26, 2018

“I adore this”

ProsGreat way to have all in one place- cakendar,docs,calculations. It makes my work do much easier and convenient.
ConsIt has all I need in one place,so no flaws
Reviewer Source 
Source: Capterra
September 26, 2018
Avatar Image
Kevin P.
Data Scientist
Internet, 10,001+ employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Features
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
September 6, 2018

“Deep learning is easy with TensorFlow”

OverallWe 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.
ProsIntuitive way to generate networks. Nice visualizations with tensorboard. Good documentation and tutorials. Large supportive community. Easily scaleable.
ConsMany 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.
Reviewer Source 
Source: Capterra
September 6, 2018
Verified Reviewer
Computer Software, 1001-5000 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Features
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
October 12, 2019

“Machine learning at lightning speed”

OverallI have used it for various tests, it helps to quickly test a hypothesis. Often when a solution is required on an urgent basis, Cloud ML is the fastest way
ProsI do not need to write a single line of code for running complex ML tasks. All I need, is to adjust a few parameters and provide some data and all the code is taken care of by experts at Google.
ConsYou need to learn how to use Google Cloud Platform, so that you can integrate it with the database
Reviewer Source 
Source: Capterra
October 12, 2019
Verified Reviewer
Research, 11-50 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
September 23, 2019

“Best ML Library”

OverallI'm totally satisfied of the usage and can recommend it to anyone who is doing a project on machine learning and AI.
ProsSimplicity, that is the most liked feature for me. As a beginner for machine learning it helped me to create my project without any issues and the support I got was enormous. Also the code labs that were given helped me to understand it better with ease.
ConsWell I trained my data set using the CPU it took a lot of time by then. Other than that I never faced any issue of using it.
Reviewer Source 
Source: Capterra
September 23, 2019
Avatar Image
Sheikh A.
CTO
Electrical/Electronic Manufacturing, 11-50 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
4/5
Features
5/5
Value for Money
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
September 30, 2019

“Powerful tool for machine learning, AI or data science researchers”

OverallThe depth of resources this tool provides makes it inseparable for a researcher of many sectors, at this era of AI.
ProsGPU utilization helps the projects. TensorBoard is good for model visualization and performance analytics.
ConsStill 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.
Reviewer Source 
Source: Capterra
September 30, 2019
Avatar Image
Dr. Jayant J.
Assistant professor
Education Management, 201-500 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
June 8, 2019

“Tensorflow is the best Deep Learning framework preferred by many industries”

OverallI have used tensorflow for development of some deep learning applications.
ProsTensorflow is preferred by many industries for developing deep learning architecture.
ConsProgramming is little difficult with tensorflow
Reviewer Source 
Source: Capterra
June 8, 2019
Avatar Image
Shubham S.
Cloud Engineer
501-1000 employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
4/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
June 29, 2018

“Tensorflow is the best open source library for machine learning framework”

OverallHelped me to create various machine learning models
ProsSome of the pros are as follows: 1. Compatible across various platforms like GPU, CPU and TPU. 2. Better computational power, performance and graphical visualization than Theano, Torch etc. 3. Keras could be used as backend for the same. 4. It could be used on various devices from cell phones to powerful supercomputers.
ConsSome of the cons are as follows: 1. Lack of Symbolic loops (which is given in Theano and Caffe) 2. Lack of support on Windows.
Reviewer Source 
Source: Capterra
June 29, 2018
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Sasitha P.
Software Engineer
Information Technology and Services, 1-10 employees
Used the software for: 2+ years
Overall Rating
5/5
Ease of Use
3/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
March 26, 2019

“Train models with lot of data”

OverallI 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.
Proswe can train models with lot of data which contain millions of data.
Consnot easy to learn using their documentations.
Reviewer Source 
Source: Capterra
March 26, 2019
Avatar Image
Shambhavi J.
BI Developer
Unspecified
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
July 15, 2018

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

ProsImplementing 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.
ConsIt 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 .
Reviewer Source 
Source: Capterra
July 15, 2018
Avatar Image
Ajay S.
Co-founder | Data Scientist at Blubyn
Unspecified
Used the software for: Less than 6 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
4/5
Features
5/5
Value for Money
5/5
Reviewer Source 
Source: Capterra
June 12, 2018

“The Rising star for the Deep Learning...”

Pros- Unintuitive design - Computational Graph can be executed immediately - Development is extremely rapid - Python Numpy support Yaay - Better for Deployment - Don't forget about the Google's DeepMind, Google Brain, Toronto, IDSIA etc
Cons- Documentation can be more refined - Can hog a GPU - For practical ML Tasks other than Deep learning, I will still prefer Scikit learn - Overkill for simpler tasks - Not enough pre-trained models for practical use - Slower than some of the frameworks
Reviewer Source 
Source: Capterra
June 12, 2018
Verified Reviewer
Marketing and Advertising, 201-500 employees
Used the software for: Less than 6 months
Overall Rating
4/5
Ease of Use
3/5
Features
4/5
Likelihood to Recommend
6/10
Reviewer Source 
Source: Capterra
April 23, 2019

“Tensorflow for Deep Learning Applications”

OverallIt
ProsTensorflow is an open source library for deep learning algorithms. In case I had problems with Tensorflow implementation or deployment, I found wide support from the Tensorflow community. Tensorflow comes with tensorboard, which a great tool to visualize the learning process and to track the progress of your application in terms of the accuracy and the gradients.
ConsAs starting to learn the basic deep learning tools using Tensorflow, I found it not straight forward in terms of the sessions and variables management. It is quite tricky though to debug the code if it has some problems. Also, TesnorFlow does not support dynamic graphs. It was not an issue for me in the beginning, however, it started to be a challenging problem while dealing with dynamic graphs (e.g. text modeling).
Reviewer Source 
Source: Capterra
April 23, 2019
Avatar Image
Rashmi ..
UI Developer
Information Technology and Services, 201-500 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
5/5
Features
5/5
Value for Money
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
January 13, 2019

“just use this for deep learning ”

Overalla must use library for deep learning and ML
ProsI think it's the best and most powerful ML and deep learning library available as of now. Tensor has lot and lots of support for deep learning algorithms. It comes with lot of inbuilt function which makes the thing easy for ML developer.
ConsOnly cons about this is it's long learning curve.
Reviewer Source 
Source: Capterra
January 13, 2019
Somnath R.
Mr
Computer Software, 1001-5000 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
April 28, 2018

“Mr”

OverallSaved a lot of time by removing the need to maintain VMs.
ProsI 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.
ConsTensorflow has a steep learning curve. More tutorials may be provided for beginners to get them on board.
Reviewer Source 
Source: Capterra
April 28, 2018
Jatin N.
Student
Unspecified
Used the software for: 1-2 years
Overall Rating
4/5
Ease of Use
5/5
Customer Service
4/5
Features
4/5
Value for Money
4/5
Reviewer Source 
Source: Capterra
January 13, 2018

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

Pros1. Cost Efficient (Pay as you go) 2. Provide easy way for accessing data and manipulating cloud API to automate Scalable operations
ConsCalls Per request is bit high. Would be happy if they provided more calls in the free version. Rest it's best in class service.
Reviewer Source 
Source: Capterra
January 13, 2018
Verified Reviewer
Higher Education, Self-employed
Used the software for: Less than 6 months
Overall Rating
5/5
Ease of Use
2/5
Features
3/5
Likelihood to Recommend
6/10
Reviewer Source 
Source: Capterra
April 12, 2019

“TensorFlow for school project”

ProsI did have chance to use couple of tensorFlow features for my university project, i figured it has lots of features and applicability especially those computation graphs within NN
ConsMy problem was that i had a hard time understanding how I'm able to do what im looking for, more examples with a better defined documentation might be helpful, as a learner it was hard for me
Reviewer Source 
Source: Capterra
April 12, 2019
Verified Reviewer
Financial Services, 11-50 employees
Used the software for: 6-12 months
Overall Rating
2/5
Ease of Use
1/5
Customer Service
4/5
Features
2/5
Value for Money
4/5
Likelihood to Recommend
2/10
Reviewer Source 
Source: Capterra
December 3, 2018

“Overhyped application”

OverallI 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.
ProsTensorflow is a good library for machine learning, but only for more experienced developpers.
ConsIt 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.
Reviewer Source 
Source: Capterra
December 3, 2018
Verified Reviewer
Higher Education, 1001-5000 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
November 16, 2018

“Best of the Best”

ProsIt is the best thing that has ever happened in Machine Learning for Image domain
ConsBe ready to dive into studying lots of research papers to work with it. as you will get addicted to TF, as I got.
Reviewer Source 
Source: Capterra
November 16, 2018
Avatar Image
Arwildo B.
Student
Research, 1001-5000 employees
Used the software for: Less than 6 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
April 25, 2019

“The best powerfull libary for your neural network”

OverallI use Tensorflow to design my first code in machine learning to build an autopilot car game.
ProsTensorflow it's easy to set up and provides a simple way to start learning machine learning with a guides tutorial that comes with data that needed to train the algorithm.
ConsIt does not available to a 32bit machine, you need 64bit.
Reviewer Source 
Source: Capterra
April 25, 2019
Vikas A.
Student
Unspecified
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
4/5
Reviewer Source 
Source: Capterra
March 16, 2018

“Good Features and Learning”

ProsThey have visually appealing components. Support from google is best feature that tensorflow have. It supports wide varierty range of operations.
Conscurrent open source implementation does not support distributed computaion and windows support is not present. In future update more guide for new users should be added.
Reviewer Source 
Source: Capterra
March 16, 2018
Mario J.
Professor
Higher Education, 501-1000 employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
4/5
Customer Service
2/5
Features
4/5
Value for Money
4/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
February 26, 2019

“Speech to Text and Sentiment Analysis”

ProsIt is very easy and have python code examples to get faster deployment of own apps.
ConsWhen 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.
Reviewer Source 
Source: Capterra
February 26, 2019
Verified Reviewer
Financial Services, 11-50 employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Likelihood to Recommend
5/10
Reviewer Source 
Source: Capterra
February 10, 2019

“Over hyped and very complicated”

OverallI used it for as our machine learning library, but moved on to better libraries.
ProsIt can be used for making medium level machine learning programs and it isn't bad at it.
ConsIt has a really steep learning curve and there are better libraries that outperform Tensorflow.
Reviewer Source 
Source: Capterra
February 10, 2019
Jamie H.
Software Developer
Computer Software, 51-200 employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
4/5
Features
5/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
January 28, 2019

“Becoming the standard for Machine Learning tasks”

ProsSupport for GPU acceleration. A huge number of tutorials/resources. Many different algorithms to choose from and very flexible.
ConsRequires significant expertise--not a simple piece of software. Development largely controlled by one company--Google.
Reviewer Source 
Source: Capterra
January 28, 2019
Verified Reviewer
Computer Software, Self-employed
Used the software for: 6-12 months
Overall Rating
3/5
Ease of Use
3/5
Features
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
July 22, 2019

“Review about TensorFlow”

OverallI have used this to my Natural Language Processing research project.
ProsIt is faster than other back-ends and have better computational graph visualizations than Torch and Theano back-end for machine learning tasks
ConsIt makes lots of trouble with windows environment. It most compatible with Linux environment.
Reviewer Source 
Source: Capterra
July 22, 2019
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Sutaryono P.
Student
Education Management, 501-1000 employees
Used the software for: I used a free trial
Overall Rating
4/5
Ease of Use
5/5
Customer Service
4/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
June 21, 2019

“Open source powerful tools to do Machine Learning”

OverallI use Tensorflow to recognized images based on data that I inputted
ProsIt's easy to use and beginner friendly because they have full documentation on the TS flow website on how to use it. With Tensorflow it's easy to implement Machine Learning into your project.
ConsIt's a new library so there are not many tutorials that exist on the internet for now.
Reviewer Source 
Source: Capterra
June 21, 2019
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Gaurav Y.
Software Developer
201-500 employees
Used the software for: 1-2 years
Overall Rating
5/5
Ease of Use
4/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
June 25, 2018

“The best deep learning library”

OverallI have been using this for one and half year, and it's a good learning. And also efficient to build deep learning models.
ProsIt is best library to wirte models for deep learning. One advantage is that it is open source. One of the best thing is that, now it has lots of pre built neural network architecture in it.
ConsThis library requires a long learning period, understanding everything in this library is not very easy.
Reviewer Source 
Source: Capterra
June 25, 2018
Marcin S.
CTO
Medical Devices, 11-50 employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
1/5
Features
4/5
Likelihood to Recommend
7/10
Reviewer Source 
Source: Capterra
April 12, 2018

“Nice ML engine”

ProsVery, very fast - you are able to use GPU implementation of some layers of Keras on TensorFlow, it is easy to use with Theano
ConsVery hard to start, it will be great to have much more tutorials. And it will be usefeull to have some more trainings available.
Reviewer Source 
Source: Capterra
April 12, 2018
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Vahid A.
Research Assistant
Higher Education, Self-employed
Used the software for: I used a free trial
Overall Rating
4/5
Ease of Use
4/5
Features
4/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
September 29, 2019

“Machine learning with TensorFlow”

OverallA great machine learning tool. It is user-friendly with a lot of functionalities.
ProsI am using TensorFlow with Python for solving and it is easy and strong with a lot of many useful functions.
ConsI do not see any big problem in using this software, the only thing that I can mention is about the documentation of this software which can be improved.
Reviewer Source 
Source: Capterra
September 29, 2019
Verified Reviewer
Computer Software, 1-10 employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
3/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
8/10
Reviewer Source 
Source: Capterra
January 3, 2019

“Great and very customisable. Ideal for complex analysis.”

ProsAlmost everything is customisable by the user, giving them a lot of power.
ConsKind of hard to grasp at the very begining. Only works fine with Nvidia cards.
Reviewer Source 
Source: Capterra
January 3, 2019
Sam W.
Student
E-Learning, Self-employed
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
3/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
December 3, 2018

“top AI available for consumers!!!”

Prosvery very very accurate and almost smarter than i am! better than any other AI on it's level
Consit's not very user friendly and takes a bit to get it going
Reviewer Source 
Source: Capterra
December 3, 2018
Verified Reviewer
Higher Education, Self-employed
Used the software for: I used a free trial
Overall Rating
5/5
Ease of Use
3/5
Features
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
March 6, 2019

“TensorFlow review”

ProsTF is an opensource library that builds neural networks. It's easy to install TF in python. The concept of TF is different from other deep learning libraries in terms of building graphs. I like this concept as it also provides visualization through TensorBoard.
ConsDocumentation and guidelines can be improved.
Reviewer Source 
Source: Capterra
March 6, 2019
Verified Reviewer
Financial Services, 10,001+ employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Customer Service
3/5
Features
4/5
Value for Money
5/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
August 27, 2019

“Gold standard in the machine learning world”

OverallUsing machine learning in several projects. They all needed tensorflow even when I am not directly using it, but rather using other machine learning packages.
ProsDeveloped by Google, Tensorflow is now the go to package for most machine learning projects that need to manage computations with huge amounts of calculations and data. Everyone uses it so you can't go wrong.
ConsHuge learning curve. It is very difficult to just pick up. Most people have to use other packages built on top of tensorflow.
Reviewer Source 
Source: Capterra
August 27, 2019
Holli S.
Rdh
Health, Wellness and Fitness, 1-10 employees
Used the software for: 6-12 months
Overall Rating
4/5
Ease of Use
4/5
Customer Service
4/5
Features
4/5
Value for Money
4/5
Likelihood to Recommend
9/10
Reviewer Source 
Source: Capterra
March 6, 2019

“Cloud ml engine ”

OverallGreat!
ProsI like that it's great for training. And that you can use it together or individually!
ConsI dont have anything negative tosl say. I enjoy this alot!
Reviewer Source 
Source: Capterra
March 6, 2019
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SAMUEL B.
Trainee
Health, Wellness and Fitness, 51-200 employees
Used the software for: 6-12 months
Overall Rating
5/5
Ease of Use
5/5
Customer Service
5/5
Features
5/5
Value for Money
5/5
Likelihood to Recommend
10/10
Reviewer Source 
Source: Capterra
September 12, 2018

“Excellent Software”

ProsUser friendly. Great features and functionalities. Availability of tracking bug. The software shows CPU usage.
ConsThe CPU usage is only available in percentage.
Reviewer Source 
Source: Capterra
September 12, 2018