Zoho Desk is the award-winning, context-aware help desk software along with multichannel capabilities. Zoho Desk packs advanced multi-stakeholder process management, embeddable self-service, a powerful AI assistant, and brings together all the tools and context your teams need to deliver great customer service.
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What I like the most is that it really is very intuitive and easy to use. It helps to control the tracking of every ticket in a easy way. Also one can import its customers without any problem. It has many other tools that can be useful regardless the item which company is using on day to day basis. It can start a live chat with the user and can go straight creating a ticket from this internment. Ticket tracking and escalation matrix enables company to track and manages customer complaints on time.
Previous to using Zoho, we were managing all our CS in our email inbox. Items were getting lost or forgotten about and it was driving me crazy. Zoho has an excellent suite of products and this one is no exception! Easy to use (the basics at least). And, it's very inexpensive.
Previous to using Zoho, we were managing all our CS in our email inbox. We used Zoho Desk when starting out when we needed a way to manage customer support outside of email. Zoho Desk is a basic customer support software - great that there is a free version for starting out.
Based on our record, TensorFlow should be more popular than Zoho Desk. 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.
Desk — Customer Support management with 3 agents and private knowledge base, email tickets. Integrates with Assist for 1 remote technician & 5 unattended computers. - Source: dev.to / almost 3 years ago
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 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
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