CloudTalk
Aircall
Dialpad
RingCentral
JustCall
Nextiva
NICE inContact
Genesys Cloud
TensorFlow
PyTorch
Keras
Scikit-learn
IBM Watson Studio
Azure Machine Learning Service
Azure Machine Learning Studio
H2O.ai
CloudTalk is a contact center management solution that enables businesses to streamline communications with teams and customers using virtual call systems. It allows executives to manage inbound/outbound calls, extract interaction history from various sources and provide personalized support to clients. All you have to do is connect to the internet and CloudTalk will take care of everything else. The advantage of cloud software is also the ability to fully scale and adapt to customer needs.
CloudTalk provides a number of advanced features such as automated call distribution, call forwarding, interactive voice response, custom reporting, international numbers and much more. One of the biggest benefits are the integrations with globally used systems (eg HubSpot, Zendesk, Salesforce, Intercom, Freshdesk ...) where companies have all the data in one place and always up to date.
CloudTalk TensorFlowCloudTalk is recommended for small to medium-sized businesses, contact centers, and enterprises that need a comprehensive virtual phone system. It's especially beneficial for those looking to enhance their customer support capabilities and improve internal communication.
Based 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 / over 2 years 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 3 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: about 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 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 3 years ago
Aircall - Aircall is a call center software of a new generation designed for fast growing companies. Setup instantly and integrates to your CRMs
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Dialpad - Switch is a cloud-based phone system built for Google Apps users.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
RingCentral - RingCentral is the leading provider of cloud-based communications and collaboration solutions for small business and enterprise companies
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
