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Compare Keras and NVIDIA Deep Learning GPU Training System (DIGITS) 
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At a Glance
Market Segments
Small-Business (38.1% of reviews)
Small-Business (54.5% 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 KerasNVIDIA Deep Learning GPU Training System (DIGITS)
Star Rating
(23)4.5 out of 5
Market Segments
Small-Business (54.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about NVIDIA Deep Learning GPU Training System (DIGITS)Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Keras excels in ease of use, with a score of 8.9, making it a favorite among beginners and small businesses looking to quickly implement deep learning solutions. In contrast, NVIDIA DIGITS, while powerful, has a slightly lower ease of use rating at 8.3, which some users find less intuitive for newcomers.
- Reviewers mention that Keras offers robust support for model evaluation and neural network training, which is crucial for users focused on developing and refining their models. NVIDIA DIGITS, however, shines in deployment capabilities, allowing for seamless integration into production environments, which is a significant advantage for larger organizations.
- G2 users highlight Keras's strong community support and extensive documentation, which aids in troubleshooting and learning. Conversely, users on G2 note that while NVIDIA DIGITS has solid documentation, the support can be less responsive, impacting the overall user experience.
- Users say that Keras's flexibility in customizability allows for tailored solutions, particularly in deep learning capabilities and transfer learning. On the other hand, NVIDIA DIGITS is praised for its advanced features like automated model tuning, which can significantly enhance performance for users with more complex needs.
- Reviewers mention that Keras's performance in model optimization is commendable, but NVIDIA DIGITS outperforms in scalability, making it a better choice for enterprises that require handling large datasets and extensive computational resources.
- Users report that Keras is particularly strong in data preprocessing and integration, which is essential for preparing datasets for training. In contrast, NVIDIA DIGITS is noted for its superior visualization tools, which help users better understand model performance and data flow.
Pricing
Entry-Level Pricing
Keras
No pricing availableNVIDIA Deep Learning GPU Training System (DIGITS)
No pricing availableFree Trial
Keras
No trial information availableNVIDIA Deep Learning GPU Training System (DIGITS)
No trial information availableRatings
Meets Requirements
8.9
50
8.1
12
Ease of Use
8.9
50
8.3
12
Ease of Setup
8.8
24
Not enough data
Ease of Admin
7.8
20
Not enough data
Quality of Support
7.8
41
7.8
12
Has the product been a good partner in doing business?
8.2
17
Not enough data
Product Direction (% positive)
9.3
48
4.2
8
Features by Category
Recognition Type
Not enough data
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Facial Recognition
Not enough data
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Labeling
Not enough data
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Deployment
Not enough data
Not enough data
Core Functionality - Artificial Neural Network
Not enough data
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Data Handling - Artificial Neural Network
Not enough data
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Performance - Artificial Neural Network
Not enough data
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Usability - Artificial Neural Network
Not enough data
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Advanced Features - Artificial Neural Network
Not enough data
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Agentic AI - Artificial Neural Network
Not enough data
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Agentic AI - AWS Marketplace
Not enough data
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Categories
Categories
Shared Categories
Keras and NVIDIA Deep Learning GPU Training System (DIGITS) are categorized as Artificial Neural Network
Unique Categories
Keras has no unique categories
NVIDIA Deep Learning GPU Training System (DIGITS) is categorized as Image Recognition and AWS Marketplace
Reviews
Reviewers' Company Size
Keras
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
NVIDIA Deep Learning GPU Training System (DIGITS)
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%
Computer Software
40.9%
Semiconductors
9.1%
Computer Hardware
9.1%
Research
4.5%
Insurance
4.5%
Other
31.8%
Alternatives
Discussions
Keras has no discussions with answers
NVIDIA Deep Learning GPU Training System (DIGITS) has no discussions with answers
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