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Compare Keras and TFLearn 
At a Glance
Market Segments
Small-Business (38.1% of reviews)
Small-Business (55.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Keras
Star Rating
(64)4.6 out of 5
Market Segments
Small-Business (38.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about KerasTFLearn
Star Rating
(20)4.0 out of 5
Market Segments
Small-Business (55.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about TFLearnSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Keras excels in its user-friendly interface, making it easier for beginners to get started with deep learning projects compared to TFLearn, which some users find less intuitive.
- Reviewers mention that Keras has superior documentation and community support, which is crucial for troubleshooting and learning, while TFLearn's documentation is considered less comprehensive.
- G2 users highlight Keras's advanced features like automated model tuning and real-time processing as standout capabilities, whereas TFLearn lacks some of these advanced functionalities, limiting its appeal for more complex projects.
- Users on G2 report that Keras offers better scalability options, allowing for more extensive model training without significant performance drops, while TFLearn may struggle with larger datasets.
- Reviewers say that Keras's deep learning capabilities are more robust, particularly in neural network training and testing, which is essential for users looking to implement cutting-edge AI solutions, whereas TFLearn is seen as more basic in this regard.
- Users mention that Keras's model evaluation tools are more sophisticated, providing better insights into model performance, while TFLearn's evaluation features are perceived as limited and less informative.
Pricing
Entry-Level Pricing
Keras
No pricing availableTFLearn
No pricing availableFree Trial
Keras
No trial information availableTFLearn
No trial information availableRatings
Meets Requirements
8.9
50
8.7
20
Ease of Use
8.9
50
8.9
20
Ease of Setup
8.8
24
9.4
11
Ease of Admin
7.8
20
8.1
7
Quality of Support
7.8
41
6.9
17
Has the product been a good partner in doing business?
8.2
17
8.5
10
Product Direction (% positive)
9.3
48
7.4
18
Features by Category
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Keras and TFLearn are categorized as Artificial Neural Network
Unique Categories
Keras has no unique categories
TFLearn has no unique categories
Reviews
Reviewers' Company Size
Keras
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TFLearn
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
20.6%
Information Technology and Services
17.5%
Research
14.3%
Telecommunications
7.9%
Information Services
4.8%
Other
34.9%
Information Technology and Services
25.0%
Computer Software
25.0%
Research
20.0%
Medical Devices
5.0%
Legal Services
5.0%
Other
20.0%
Alternatives
Discussions
Keras has no discussions with answers
TFLearn has no discussions with answers
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