Amazon Deep Learning AMIs vs. Snorkel
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 Amazon Deep Learning AMIs | Score8.1 out of 10 | N/A | AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new… | N/A |
 Snorkel | N/A | N/A | Snorkel, from Snorkel AI in Palo Alto, is a system for programmatically building and managing training datasets. In Snorkel, users can develop training datasets rather than hand-labeling them over weeks or months. Snorkel currently exposes three key programmatic operations: labeling data, for example using heuristic rules or distant supervision techniques; transforming data, for example rotating or stretching images to perform data augmentation; and slicing data into different critical subsets.… | N/A |
| Amazon Deep Learning AMIs | Snorkel | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| Amazon Deep Learning AMIs | Snorkel | |
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| Likelihood to Recommend | 10.0 | - |