All TensorFlow Reviews
1-25 of 103 Reviews
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Shriya
Verified reviewer
Information Technology and Services, 201-500 employees
Used less than 2 years
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.
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.
Deepak Kumar
Verified reviewer
Information Technology and Services, 201-500 employees
Used less than 2 years
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.
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.
Anonymous
11-50 employees
Used daily for less than 12 months
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.
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.
Prashanga
Verified reviewer
Computer Software, 51-200 employees
Used weekly for less than 2 years
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.
PROSTensorFlow 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.
CONSRequires a lot of cpu power for model training. Visualisation of model can also be improved.
Shalinee
Verified reviewer
201-500 employees
Used more than 2 years
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
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.
Kevin
Verified reviewer
Internet, 10,000+ employees
Used weekly for less than 2 years
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.
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.
Sheikh
Verified reviewer
Electrical/Electronic Manufacturing, 11-50 employees
Used weekly for less than 2 years
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.
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.
Dr. Jayant
Verified reviewer
Education Management, 201-500 employees
Used weekly for more than 2 years
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.
PROSTensorflow is preferred by many industries for developing deep learning architecture.
CONSProgramming is little difficult with tensorflow
Shambhavi
Verified reviewer
Used less than 2 years
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
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.
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 .
Sasitha
Verified reviewer
Information Technology and Services, 2-10 employees
Used more than 2 years
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.
PROSwe can train models with lot of data which contain millions of data.
CONSnot easy to learn using their documentations.
hasini
Computer Software, 201-500 employees
Used daily for less than 2 years
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.
PROSI 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.
CONSIt 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
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.
PROSFirst 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.
CONSIt 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
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!
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.
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.
Youssef
Computer Software, 51-200 employees
Used weekly for more than 2 years
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.
PROSTensorflow 2 is much better than TensorFlow 1. It is easy to use and deploy models.
CONSIt 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
OVERALL RATING:
5
EASE OF USE
4
FUNCTIONALITY
5
Reviewed March 2022
Great for Machine Learning and Deep Learning tasks
Supported with python, Allows to control gpu memory usage, tensorboard feature provides nice charts.
CONSHard 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
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.
PROSHuge community, a rich documentation, easy to integrate with other software, free and open-source, powerful features, constantly getting better with community contributions.
CONSThe 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
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.
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.
Jatin
Used weekly for less than 2 years
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.
1. 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.
Arun
Education Management, 201-500 employees
Used daily for less than 6 months
OVERALL RATING:
5
EASE OF USE
4
VALUE FOR MONEY
4
CUSTOMER SUPPORT
3
FUNCTIONALITY
5
Reviewed September 2023
Feedback
good product
PROSeasy to use. good performance .integration with python is easy
CONSexpensive. AI tools need to be more graphically represented
Anonymous
1,001-5,000 employees
Used weekly for less than 2 years
OVERALL RATING:
5
EASE OF USE
5
VALUE FOR MONEY
5
CUSTOMER SUPPORT
5
FUNCTIONALITY
5
Reviewed November 2018
Best of the Best
It 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.
Mario
Higher Education, 501-1,000 employees
Used weekly for less than 12 months
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
It 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.
Anonymous
11-50 employees
Used weekly for less than 12 months
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.
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.
Sam
E-Learning, 1 employee
Used weekly for less than 12 months
OVERALL RATING:
5
EASE OF USE
3
VALUE FOR MONEY
5
FUNCTIONALITY
5
Reviewed December 2018
top AI available for consumers!!!
very 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
Holli
Health, Wellness and Fitness, 2-10 employees
Used less than 12 months
OVERALL RATING:
4
EASE OF USE
4
VALUE FOR MONEY
4
CUSTOMER SUPPORT
4
FUNCTIONALITY
4
Reviewed March 2019
Cloud ml engine
Great!
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!
Anonymous
51-200 employees
Used monthly for less than 12 months
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
PROSI 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.
CONSIt can be challenging as a beginner to get used to writing the code and to understand the tensor concepts