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
I have been using this app since years.i can being touch with my friends ,office mates.usimg this app I can easily communicate with my missing friends.this app is the gemstone for all users.
Facebook is the best tool it allow users to buy and sell items locally.it is a convenient way to find goods and services in your areas.it also provide the international services.
Based on our record, Facebook seems to be a lot more popular than Nanonets. While we know about 451 links to Facebook, we've tracked only 6 mentions of 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.
No. While cross origin GET requests are denied, POST requests are allowed. They are allowed simply because they don't risk your data to be leaked from one origin to another. For example, - if you are sending a POST request from https://www.google.com to https://facebook.com, then if google.com can write or send anything to facebook.com, it's completely up to the Facebook server that how it will respond to the... - Source: dev.to / 8 days ago
My account got hacked 6 months ago and the hackers ran a bunch scam of Ads. The hackers posted Islamic Jihad photos and propaganda so Facebook suspended it. They said nothing about the Ads. I was able to regain access by securing it and providing ID proving who I was and linking my account to my phone. Facebook then told me at facebook.com on 6 November they've disabled my account for 180 days because of... Source: 6 months ago
For example, if I wanna go to google.com, it would redirect to another domain/ip like for example facebook.com. Source: 6 months ago
Anyone else having troubles? Its just a white page, all other sites seems fine and I can access facebook.com using other browser both with ublock origin. Source: 7 months ago
Also within the DNS security, does all the filters have to match before a user can reach websites? Say a user is trying to get to facebook.com, as long as fb application is not blocked in application or in content then they can reach this site? Source: 7 months ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 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: almost 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: about 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 / over 2 years ago
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Diaspora - The online social world where you are in control.
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.