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
Based on our record, Apache Cordova should be more popular than Nanonets. It has been mentiond 44 times since March 2021. 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.
This is truly amazing. Is there a 'How it Works' a 'Potentials' section? I work with things that push to inspire creativity and learning to foster the passion behind creativity and authentic works where otherwise we'd see how 'AI copies our work' and now we can see how AI can bring works to life and make them more fun. Over-all would you like to see schools adopting your project? I didn't see a contact form but... - Source: Hacker News / 5 months ago
Anyone have experience with/opinions on Apache Cordova? [1] It seems like it would solve most of the PWA issues. Although I vaguely recall reading that Apple is not too fond of apps that are basically just wrapped web views. [1] https://cordova.apache.org/. - Source: Hacker News / over 1 year ago
Has anyone tried pwa builder?[2] Thank you for any insights! [0]https://cordova.apache.org/. - Source: Hacker News / over 1 year ago
A little over a decade ago, I worked on the open-source project Apache Cordova/Adobe PhoneGap, first at IBM and later at Adobe. Apache Cordova enables you to build mobile applications using HTML, CSS and JavaScript while targeting multiple platforms with one code base. In today’s technology landscape, mobile is dominated by iOS and Android. In the early 2010’s we were awash in mobile platforms from BlackBerry,... - Source: dev.to / over 2 years ago
There are layers that offer access to native APIs like capacitor, cordova and nativescript. Apparently sometimes multiple of them should be used, but I didn't understand what are the differences even after reading the announcement. These seem to be frontend agnostic technologies and Capacitor is apparently the more modern choice at the moment. Source: over 2 years ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 3 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: almost 3 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 3 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 3 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 / over 3 years ago
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