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
You can build any kinds of web apps and sites with this framework without consuming substantial server resources.
Based on our record, CodeIgniter should be more popular than Nanonets. It has been mentiond 10 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.
For history's sake, you should know that Laravel was built in place of the CodeIgniter framework as a modern replacement because the CodeIgniter framework missing important core features such as built-in support for user authentication and authorization. Since its initial launch in 2011, Laravel has implemented built-in support for localization, views, dealing with sessions, routing the request to the specific... - Source: dev.to / 2 months ago
Visit the CodeIgniter official download page and download the latest version. - Source: dev.to / 3 months ago
CodeIgniter is an open-source PHP framework with 18k+ stars and 7.8K forks on GitHub. It follows the Model-View-Controller (MVC) architecture and provides a structured way to create and organize code. It provides a set of libraries and an intuitive interface to accelerate PHP web app development. - Source: dev.to / over 1 year ago
Over the years I have tried different frameworks, mostly in PHP, like Code Igniter (2010), ProcessWire (2014) and Laravel (2015). - Source: dev.to / over 2 years ago
CodeIgniter is an open-source php web application framework created by EllisLab Inc and it is now a project of British Columbia Institute of Technology. The framework implements a modified version of the Model-View-Controller design pattern. It is praised for its performance and the quality of its documentation. It's currently licensed under the MIT License, although the previous version was released under the... - Source: dev.to / 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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