NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
Okta might be a bit more popular than Nanonets. We know about 6 links to it since March 2021 and only 6 links to Nanonets. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 2 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: about 2 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 2 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / almost 3 years ago
The majority of the codebases I've worked on over the years have always favoured using JSON web-tokens (JWT) or Authentication-as-a-Service platforms (Auth0, Okta etc) for authentication logic. These are indeed excellent choices! however, on smaller projects I find these to always seem to be overkill. Recently I started working on a chrome extension that performs social sign-in using twitter OAuth API and... - Source: dev.to / over 1 year ago
This happened to me three days ago! A new employee had trouble logging into our intranet, which is at OurCompanyName.okta.com. He was going to okta.com. Source: over 1 year ago
Maybe go to okta.com , they have some cool solutions, might give you some ideas. Source: over 2 years ago
Okta.com is being used by gamestop to power the login to the creator platform. their favicon is a dark blue circle. Source: over 2 years ago
The email field is used for domains which have set up Okta, Onelogin, or other specialized identity providers. The login page has to redirect you not just to a single okta.com/onelogin.com/etc authenticator as it does with Google/Microsoft/GitHub, but to the specific OAuth endpoint set up for the specific domain. So it needs to know what domain you're trying to authenticate against so it can redirect you to the... Source: over 2 years ago
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