--- title: TFLearn Reviews meta_title: 'TFLearn Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 20 reviews by the users' company size, role or industry to find out how TFLearn works for a business like yours. aggregate_rating: rating_value: 4.0 review_count: 20 scale: '5' date_modified: '2026-07-12' parent_category: name: Deep Learning url: https://www.g2.com/categories/deep-learning --- # TFLearn Reviews **Vendor:** TFLearn **Category:** [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network) **Average Rating:** 4.0/5.0 **Total Reviews:** 20 ## About TFLearn TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it. ## TFLearn Reviews ### 1. Best framework for NLP **Rating:** 4.0/5.0 stars **Reviewed by:** Shipra J. | Consultant Level 6, Investment Banking, Small-Business (50 or fewer emp.) **Reviewed Date:** September 04, 2019 **What do you like best about TFLearn?** I am working on an application with deals with customer interaction using chatbox. TFLearn helps me to create the request and responses for the client. **What do you dislike about TFLearn?** The only trouble I had was to learn this new framework as this was my first experience with this kind of technology. It took me sometime to understand as not much content available on **Recommendations to others considering TFLearn:** We need some more tutorials for bignners and video tutorials will be better. **What problems is TFLearn solving and how is that benefiting you?** As I explained we are creating an application which has a chatbox component. TFLearn helps us to provide NLP module in that. This gives us and advantage to provide better value to users of application. ### 2. An easy-to-use and efficient API for building deep NNs very fast **Rating:** 5.0/5.0 stars **Reviewed by:** Chathuri J. | University Undergaduate, Small-Business (50 or fewer emp.) **Reviewed Date:** February 26, 2019 **What do you like best about TFLearn?** We can use Tensorflow to build up neural networks easily. yet, TFlearn has made this task even easier with its built-in functions and this leaves me to do less amount of coding. While Tensorflow needs around 12 lines of coding to build a fully connected neural networks, TFLearn builds the same neural network with only five lines od coding. Further, TFLearn provides very useful and descriptive visualization on the built deep NN. It supports not only deep NNs but also other NN architectures such as CNN, LSTM etc. as well. **What do you dislike about TFLearn?** One of the drawbacks of TFLearn is, it is possible to have issues in executing your algorithms after updating the API due to depreciation of certain functions. Yet, this also not be the case sometime. Yet, it is better if the developers of TFLearn can take care of this issue as well. **Recommendations to others considering TFLearn:** TFLearn is a very useful tool to have in your Machine Learning toolkit if you are dealing with neural networks more often. The TFlearn tutorial is also available which will give a thorough guide in starting to use the API. TFlearn has the ability to build up different types of deep learning models in a very short time with less effort. Therefore, TFLearn can be highly recommended to any ML practitioner. **What problems is TFLearn solving and how is that benefiting you?** Currently I am working on a project which is involved with machine vision. There, I had to implement a Convolution Neural network to extract some information from image data. In completing this task, TFLearn was a very useful tool as it reduces the whole coding amount and its tutorials were also very helpful to me. ### 3. rapid prototyping tool for deep learning models **Rating:** 5.0/5.0 stars **Reviewed by:** Aruna J. | Research Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** February 24, 2019 **What do you like best about TFLearn?** The best thing related to TFLearn is it have inbuilt functions for all the machine learning functions and equations in a single line of code most of the time. Therefore I feel like it is the best rapid prototyping tool that can be used to develop fast deep learning models. The next best thing that I love is TFlearn has not of tutorials and backup support. The matrix operations are handled by the Tensorflow developed by Google. The TFLearn runs on top of Tensorflow. The next best thing is that it supports normal CPU operation and also the GPU operation. It runs very fast on CUDA cored GPU. Easy to test models on different devices. **What do you dislike about TFLearn?** It is a bigger library. Updates are done to the library very frequently. Once I had an issue with the version of the library. After installing the previous version of the TFLearn the problem was solved. Other than that problem no other problems were occurred as for my experience. **Recommendations to others considering TFLearn:** TFLearn is the best prototyping tool for featuring more high-level function for Tensorflow. Most of the new Machine learning and deep learning products are developed on top of Tensorflow library. Therefore if you do experiments with deep learning and ai models TFLearns speed up them. Just you can implement models with less number of code lines. **What problems is TFLearn solving and how is that benefiting you?** Developing deep learning models, rapid prototyping deep learning models, Testing different activation functions with the output behaviour. ### 4. Super easy to implement **Rating:** 5.0/5.0 stars **Reviewed by:** Shakha J. | Associate, Small-Business (50 or fewer emp.) **Reviewed Date:** September 07, 2019 **What do you like best about TFLearn?** I work in the law IT field and this framework has helped us to create good network of vast data available through deep learning. **What do you dislike about TFLearn?** It was hard to explain this to business and other stockholder of the team. It's not very big disadvantage as they are not aware with technologies much but it will be great to have some documents for know technology people. **What problems is TFLearn solving and how is that benefiting you?** We have a Artificial inteligance based database to search for different cases. This framework help us through deep learning to solve this problem. ### 5. Get deep in an easy way. **Rating:** 4.0/5.0 stars **Reviewed by:** Mahmoud M. | Software Developer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** August 12, 2019 **What do you like best about TFLearn?** Graph visualization, easy to learn and use, developing NNs very fast and super efficient, you can cut off your code at least in half. It support CNN and LSTM as well also supports for multiple DNN. It can beat sklearn's API . **What do you dislike about TFLearn?** Poor community, if you look for a question, its not easy to find the answer in forums. I recommend create a video tutorial for this API and put it in somewhere like Udemy, so People can get familiar easily. **What problems is TFLearn solving and how is that benefiting you?** Multiple DNN implementation, learn tensorflow. Since is friendly use API for someone beginner like me was super helpful. ### 6. TFLearn makes it easy to build TF Models **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2019 **What do you like best about TFLearn?** TFlearn is fully transparent when compared to TensorFlow. All functions are built over tensors and can be used independently of TFLearn.It also supports most of deep learning models. **What do you dislike about TFLearn?** I dislike the requirement to update TensorFlow to avoid incompatibility issues and the fact that not all deep learning models are supported by TFLearn. **Recommendations to others considering TFLearn:** Take the time to compare TFLearn to Keras and you will notice how cleaner TFLearn syntax is. **What problems is TFLearn solving and how is that benefiting you?** I have used TFLearn for face recognition, image classification, and time series modeling (CNN & LSTM). ### 7. Temple of Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Srinathji K. | Big Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 04, 2019 **What do you like best about TFLearn?** I had a great experience with the TFLearn platform. The best part is from careful attention to the design and details of the professional content. I would definitely use this again and highly recommend this to my co-workers and friends! **What do you dislike about TFLearn?** Not much to write on this. I am happy that I don't have any issues with the platform. **What problems is TFLearn solving and how is that benefiting you?** It really helps to solve big problems especially in our retail domain/sectors ### 8. One of the best prototyping tools for featuring more high-level functions for TensorFlow. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 29, 2019 **What do you like best about TFLearn?** TFLearn is a very useful tool to have in your ML toolkit if you are dealing with neural networks more often. It is quite easy to understand and use. Provides all solutions. **What do you dislike about TFLearn?** I don't feel it has any issues until now. All functions are working quite well. The interface is quite good. I just advise to make its GUI more user-friendly. **Recommendations to others considering TFLearn:** The interface is good. Try to make its GUI more user-friendly. **What problems is TFLearn solving and how is that benefiting you?** It is quite easy to understand and use. It provides all solutions. ### 9. 4 years of experience in machine learning **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** September 02, 2019 **What do you like best about TFLearn?** Fast prototype, it’s easy to prototype the idea fast **What do you dislike about TFLearn?** No so friendly as Keras, Looking for a feature what keras offers I was looking for LSTM3D but didn’t find in TFlearn in keas I found a thread where it’s official coding I don’t started Make library rich **Recommendations to others considering TFLearn:** Keep library updated with recent research and advancement. **What problems is TFLearn solving and how is that benefiting you?** I am solving Imaging problem.It is provides benefit over TF but not as much expected ### 10. Decent for a beginner **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Medical Devices | Small-Business (50 or fewer emp.) **Reviewed Date:** August 15, 2019 **What do you like best about TFLearn?** The best thing about TFLearn is it's seamless experience with graph visualizations showing all the details about weights, gradients and activations. **What do you dislike about TFLearn?** It's been seamless so far and there is nothing I dislike. **What problems is TFLearn solving and how is that benefiting you?** I have been trying to build a neural network to detect ischemia using MCG data and the benefits of using TFLearn is that I do not have to scratch my brains around code syntax which allows me to focus more on the research aspect. - [View TFLearn pricing details and edition comparison](https://www.g2.com/products/tflearn/reviews/tflearn-review-3103036?section=pricing&secure%5Bexpires_at%5D=2026-07-15+01%3A01%3A39+-0500&secure%5Bsession_id%5D=89549e48-229a-4414-8fc3-c44404f49be3&secure%5Btoken%5D=e3b24e1bb108495cf9bc2ea70ce6cfd4317ad56cc26496fde628382945544368&format=llm_user) ## TFLearn Features **Core Functionality - Artificial Neural Network** - Neural Network Training - Neural Network Testing - Model Evaluation - Compliance **Data Handling - Artificial Neural Network** - Data Integration - Data Preprocessing **Performance - Artificial Neural Network** - Model Optimization - Scalability **Usability - Artificial Neural Network** - User Interface - Documentation & Support - Customizability **Advanced Features - Artificial Neural Network** - Deep Learning Capabilities - Transfer Learning - Real-Time Processing - Automated Model Tuning - Visualization Tools **Agentic AI - Artificial Neural Network** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top TFLearn Alternatives - [Keras](https://www.g2.com/products/keras/reviews) - 4.6/5.0 (64 reviews) - [Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/products/microsoft-cognitive-toolkit-formerly-cntk/reviews) - 4.2/5.0 (22 reviews) - [DeepPy](https://www.g2.com/products/deeppy/reviews) - 4.1/5.0 (12 reviews)