--- 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: '2026-08-07' 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. Easy to learn framework **Rating:** 4.0/5.0 stars **Reviewed by:** Ashutosh S. | Associate Director, Small-Business (50 or fewer emp.) **Reviewed Date:** August 30, 2019 **What do you like best about TFLearn?** I like TfLearn because of it very easy to learn still provides all complex functions. I have observed the it perform better in comparison to similar frameworks available in the market. **What do you dislike about TFLearn?** When I started working with TfLearn, I had to learn Python also. I am used to working with Java. It will be great if we can have some API to work with Java also. It will allow so many people to connect with TfLearn. **Recommendations to others considering TFLearn:** More language support will help. **What problems is TFLearn solving and how is that benefiting you?** I am trying to create one projection application, which takes data from the last few years and is updated on a daily basis so the projections need to be updated on a real-time basis. TFLearn helps me calculate those projections. ### 2. 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. ### 3. 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. ### 4. 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). ### 5. 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. ### 6. 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. ### 7. Very high speedy and high level **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 23, 2019 **What do you like best about TFLearn?** I liked the transparency over Tensorflow, the powerful helper functions with support of multiple inputs, outputs and optimizers, and mostly the beautiful visualization support. **What do you dislike about TFLearn?** I found it a little bit hard to use multiple gpus. **What problems is TFLearn solving and how is that benefiting you?** I've solved a multiclass business classification problem using TFLearn. I found its visualization support very beneficial. ### 8. good framework to start with **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2018 **What do you like best about TFLearn?** simple abstraction on tensorflow, much easier to use than tf **What do you dislike about TFLearn?** not as powerful than tensorflow in terms of functionality **What problems is TFLearn solving and how is that benefiting you?** machine learning ### 9. Amazing if you are new in the field of ML **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2018 **What do you like best about TFLearn?** It is a high level interface on the top of tensorflow, so if you don't want to spend days dealing with TF at the beginning, TFLearn is the best **What do you dislike about TFLearn?** the toturial is very brief, it needs more information about the library **What problems is TFLearn solving and how is that benefiting you?** I solve machine leaning problems in engineering applications - [View TFLearn pricing details and edition comparison](https://www.g2.com/products/tflearn/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+21%3A29%3A48+-0500&secure%5Bsession_id%5D=c0db0b09-43dd-4b63-af19-d3feee97f327&secure%5Btoken%5D=ce51cf5d2719127107092b7095f8b0306f2b91570ae38d1e73797c41218f4bdb&format=llm_user) ## TFLearn Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Additional Functionality** - No-Code - Search/Filter - Data Import/Export - Data Visualization - Activity Dashboard - Workflow Management - Quality Control - Third-Party Integrations - Model Training - Multi-Language - Data Profiling - Visualization - Data Capture and Transfer - Predictive Analytics - Performance Metrics - Image Recognition - Version Control - Neural Network Modeling - Generative AI - Synchronous Learning - Natural Language Processing - Monitoring - Data Transformation - Customizable Reports - Voice Recognition - Performance Management - Compliance Management - Troubleshooting - Content Management - Asynchronous Learning - Real-Time Reporting - API - Artificial Neural Networks - AI Copilot - ML Algorithm Library - Real-Time Data - Collaboration Tools - Self-paced Learning - Data Extraction - Configuration Management - Data Security - Visual Analytics - Activity Tracking - Continuous Delivery - Document Classification - Image Analysis - Progress Tracking - Reporting & Statistics - Real-Time Monitoring **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)