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
Cabso might be a bit more popular than Nanonets. We know about 7 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.
With our readymade Uber clone AppkodesCabso, you can arrive at an impeccable taxi booking platform in no time. Source: almost 2 years ago
Appkodes - A advanced clone script provider. We have provided the most popular app clones for your online business. Some clone script is for your reference: letgo clone, amazon clone, uber clone, whatsapp clone, urbanclap clone, practo clone, tittok clone and app clones. Source: almost 2 years ago
You can find such a remarkable uber clone script, developed with many incredible features and cutting-edge technologies at Appkodes Our versatile uber clone solution, Cabso can also be readily customized to include required features and functions. So, whatever may be online taxi business requirements, our dynamically adaptable online solution will definitely suit your taxi business model. - Source: dev.to / about 2 years ago
Therefore, gain immense popularity and attain success in your transportation business by using such a top-notch and cost-effective uber clone script with features that exceed all clone applications in performance and quality. You can know more at https://appkodes.com/uber-clone/. - Source: dev.to / about 2 years ago
With our readymade Uber clone script Appkodes Cabso, you can instantly arrive at an impeccable online taxi booking platform. And, the best part is that it has several exciting features like the option for location tracking, ride fare estimation, instant/schedule ride-booking option, etc. Source: about 2 years 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: almost 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
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