Netomi
Simplify360
Action.ai
Khoros Marketing
Solvvy
Zendesk Answer Bot
Cognigy.AI
Gladly
TensorFlow
PyTorch
Scikit-learn
Keras
IBM Watson Studio
OpenCV
Amazon SageMaker
Pega Platform
Netomi will allow your customer service team to have the ability to delight your customers with automatic resolution. Provide automatic, personalized and contextual resolutions to customer service tickets across email, chat and social. Introduce proactive, predictive care to resolve issues before they even happen.
Our enterprise-grade platform is industrial-scale without industrial weight. We make it as easy as possible to configure, manage and train the AI, and launch within seconds. A company does not need technical staff to use the platform – it can be used and run by customer support agents and their managers. We work beautifully in the channels where your customers are today, so you can support everyone, everywhere, anytime.
We resolve issues for your customers with precision and speed. We integrate with enterprise-grade back-end systems including Order Management Systems, CRM platforms, Inventory Management systems and more to provide real-time real value to your customers. Out-of-the-box integrations include Shopify, Magento, Demandware and many others, and we can integrate with any bespoke system that has a well-defined API.
Netomi TensorFlowBased on our record, TensorFlow seems to be more popular. It has been mentiond 7 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.
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Simplify360 - An Omnichannel platform that can help you manage and automate customer support across Social Media Channels, Email, Live Chat. Manage Ecom., App and Location reviews. Understand your audience with enhanced Social Listening.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Action.ai - Action.ai is another conversational AI platform that allows businesses to create and maintain language classifiers through conversational interfaces like chatbots and virtual assistants.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Khoros Marketing - Khoros community and social media management software that makes it easy for marketing and support teams to deliver the best customer experiences.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.