FloydHub vs NanoNets

Overview

FloydHub

Stacks9

Followers18

Votes0

NanoNets

Stacks17

Followers47

Votes19

FloydHub vs NanoNets: What are the differences?

FloydHub: Heroku for Deep Learning. Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem; NanoNets: Machine learning API with less data. 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.

FloydHub and NanoNets can be categorized as "Machine Learning as a Service" tools.

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Detailed Comparison

FloydHub	NanoNets
Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.	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.
-	Image categorization API with less than 30 images per category;Custom object localization API;Text deduplication API;Text categorization API
Statistics
Stacks 9	Stacks 17
Followers 18	Followers 47
Votes 0	Votes 19
Pros & Cons
No community feedback yet	Pros 7 Simple API 5 Easy Setup 4 Easy to use 3 Fast Training
Integrations
No integrations available	Ruby Golang Objective-C Postman PHP Swift Python Node.js C# Airtable

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