NanonetsWhat is NanoNets?
Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
NanoNets is a tool in the Text & Language Models category of a tech stack.
Key Features
Image categorization API with less than 30 images per categoryCustom object localization APIText deduplication APIText categorization API
NanoNets Pros & Cons
Pros of NanoNets
- ✓Simple API
- ✓Easy Setup
- ✓Easy to use
- ✓Fast Training
Cons of NanoNets
No cons listed yet.
NanoNets Alternatives & Comparisons
What are some alternatives to NanoNets?
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
