# Page 3 | TensorFlow Reviews 2026. Verified Reviews, Pros & Cons | Capterra > Page 3 - Is TensorFlow the right Machine Learning solution for you? Explore 104 verified user reviews from people in industries like yours to make a confident choice. Source: https://www.capterra.com/p/170397/TensorFlow/reviews --- TensorFlow 4.6 (104) [View alternatives](https://www.capterra.com/p/170397/TensorFlow/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated March 13th, 2026 # Page 3 - Reviews of TensorFlow ## Showing most helpful reviews Showing 51-75 of 104 Reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use VR Verified Reviewer Data Scientist Marketing and Advertising Used the software for: Less than 6 months ### "Tensorflow for Deep Learning Applications" April 23, 2019 4.0 It Pros Tensorflow 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. Cons As 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). Review Source Rashmi .. UI Developer Information Technology and Services Used the software for: 1-2 years ### "just use this for deep learning " January 13, 2019 5.0 a must use library for deep learning and ML Pros I 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. Cons Only cons about this is it's long learning curve. Review Source VR Verified Reviewer Software Engineer Computer Software Used the software for: 6-12 months ### "Awesome platform to run machine learning" April 18, 2021 4.0 Quite satisfied and believe it is an important tool in machine learning used widely over the world. Pros 1\. Open source so free of use 2. Can be run on all kinds of platforms 3. Also doesn't need any traditional platform as can be run in Google Cloud Machine 4. Awesome collection of libraries backed by Google 5. Great charts visualization options 6. High performance and scalability Cons 1\. No Windows support 2. Missing symbolic logic 3. No GPU support for Nvidia Review Source VR Verified Reviewer Research Assistance Higher Education Used the software for: Less than 6 months ### "TensorFlow for school project" April 12, 2019 5.0 Pros I 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 Cons My 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 Review Source AK Arun K. Teacher Education Management Used the software for: Less than 6 months ### "Feedback" September 18, 2023 5.0 good product Pros easy to use. good performance .integration with python is easy Cons expensive. AI tools need to be more graphically represented Review Source VR Verified Reviewer Graduate Teaching Assistant/Grader Higher Education Used the software for: 1-2 years ### "Best of the Best" November 16, 2018 5.0 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. Review Source YA Youssef A. Data Scientist Computer Software Used the software for: 2+ years ### "Tensorflow AI" June 1, 2022 5.0 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. Review Source Arwildo B. Student Research Used the software for: Less than 6 months ### "The best powerfull libary for your neural network" April 25, 2019 5.0 I use Tensorflow to design my first code in machine learning to build an autopilot car game. Pros Tensorflow 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. Cons It does not available to a 32bit machine, you need 64bit. Review Source ZM Zandrich M. Chief Marketing Officer Computer & Network Security Used the software for: 1-2 years ### "TensorFlow - "Google" Solution in an Ocean of Better Solutions" August 20, 2021 3.0 I've used TensorFlow for several years now, but I've done so begrudgingly. My support for Google and their exploitive platforms has waned, and I've begun shifting my attention to other solutions. Pros TensorFlow has its merits. It's very easily deployable, and allows users to leverage the Machine Learning reportedly used within Google itself. Building models for use in breaking up and learning from large datasets is also relatively simple. Cons "Open Source" and "Google" do not go hand-in-hand. The service remains ultimately tied to Google, and unless a community begins to use the source to build an independent Machine Learning framework, it's not truly "Open Source", it's just "free to use so we can easily access your data". There are better options available, ones that are really Open Source. Review Source VR Verified Reviewer Pr manager Automotive Used the software for: 1-2 years ### "I adore this" September 26, 2018 5.0 Pros Great way to have all in one place- cakendar,docs,calculations. It makes my work do much easier and convenient. Cons It has all I need in one place,so no flaws Review Source Mario J. Professor Higher Education Used the software for: 6-12 months ### "Speech to Text and Sentiment Analysis" February 27, 2019 5.0 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. Review Source Gaurav Y. Software Developer Used the software for: 1-2 years ### "The best deep learning library" June 25, 2018 5.0 I have been using this for one and half year, and it's a good learning. And also efficient to build deep learning models. Pros It 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. Cons This library requires a long learning period, understanding everything in this library is not very easy. Review Source VR Verified Reviewer Researcher Internship Computer Software Used the software for: 6-12 months ### "Great and very customisable. Ideal for complex analysis." January 3, 2019 5.0 Pros Almost everything is customisable by the user, giving them a lot of power. Cons Kind of hard to grasp at the very begining. Only works fine with Nvidia cards. Review Source SAMUEL B. Trainee Health, Wellness and Fitness Used the software for: 6-12 months ### "Excellent Software" September 12, 2018 5.0 Pros User friendly. Great features and functionalities. Availability of tracking bug. The software shows CPU usage. Cons The CPU usage is only available in percentage. Review Source SS Shubham S. Cloud Engineer Used the software for: 6-12 months ### "Tensorflow is the best open source library for machine learning framework" June 29, 2018 5.0 Helped me to create various machine learning models Pros Some 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. Cons Some of the cons are as follows: 1. Lack of Symbolic loops (which is given in Theano and Caffe) 2. Lack of support on Windows. Review Source AS Ajay S. Co-founder | Data Scientist at Blubyn Used the software for: Less than 6 months ### "The Rising star for the Deep Learning..." June 12, 2018 5.0 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 Review Source VR Verified Reviewer Analyst Financial Services Used the software for: 6-12 months ### "Gold standard in the machine learning world" August 27, 2019 4.0 Using machine learning in several projects. They all needed tensorflow even when I am not directly using it, but rather using other machine learning packages. Pros Developed 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. Cons Huge learning curve. It is very difficult to just pick up. Most people have to use other packages built on top of tensorflow. Review Source SR Somnath R. Mr Computer Software Used the software for: 1-2 years ### "Mr" April 28, 2018 5.0 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. Review Source Ginés H. Research Associate at Perceptual Computing Laboratory Higher Education Used the software for: 1-2 years ### "One of the 2 most updated deep learning frameworks" June 28, 2018 4.0 Pros They keep adding all new paper and research state-of-the-art ideas, which is a key feature for a deep learning library. Cons Versions are not back-compatible. This is a huge issue when trying to maintain a code that was created on top of it. Review Source VR Verified Reviewer Graduate Research Assistant Research Used the software for: 6-12 months ### "An extensive open source library for Deep Learning and AI " February 19, 2019 5.0 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 Review Source Vahid A. Research Assistant Higher Education Used the software for: I used a free trial ### "Machine learning with TensorFlow" September 29, 2019 4.0 A great machine learning tool. It is user-friendly with a lot of functionalities. Pros I am using TensorFlow with Python for solving and it is easy and strong with a lot of many useful functions. Cons I 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. Review Source VA Vibhor A. Researcher Research Used the software for: 6-12 months ### "Great for scaling your Machine Learning needs" February 25, 2020 5.0 Great for anyone starting to use ML as a analytical tool. It provides nee=cessary training for you to move forward Pros Ease of use, adaptability, and speed associated with the cloud platform is amazing. It can help solve any research problems Cons It uses standard template whcih might be difficult to customize in special needs scenario. Some odf the functionality is locked out limiting usage Review Source Aniket M. Student Education Management Used the software for: Less than 6 months ### "Review for TensorFlow" July 12, 2020 4.0 Overall it's satisfactory. Good library for Deep Learning application & Research. Pros It's good library to run the deep learning models. It makes use of building the Deep Learning Architecture easy and convenient. It has many cool features. Cons I find Pytorch framework more easier and beginner friendly to be honest. Tensorflow coding is a bit overwhelming for beginners. Review Source VA Vikas A. Student Used the software for: 6-12 months ### "Good Features and Learning" March 16, 2018 4.0 Pros They have visually appealing components. Support from google is best feature that tensorflow have. It supports wide varierty range of operations. Cons current 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. Review Source VR Verified Reviewer Co-Founder and CEO Computer Games Used the software for: Less than 6 months ### "Great if you know what you are doing" May 11, 2018 5.0 Pros TensorFlow is an incredibly valuable and simple way to construct neural networks and do data analysis and prediction. Very straightforward and functional. Cons The learning curve is obviously steep. Some of the error messages can be tough to decipher without outside help. Review Source Similar Products Featured