Chanty is a cloud-based collaboration platform that combines communication, project management, and automation to help teams work together more effectively. Chanty helps both big and small teams become more productive with its clean interface and seamless user experience. Features such as unlimited message history, group video and audio calls, voice messaging, task management, file sharing and custom notifications can help tackle your hectic days at work by making them easier.
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It is so comfortable to have all your business files and messages in one place. And I really appreciate how your support team helps us! Thank you a lot
Based on our record, TensorFlow should be more popular than Chanty. 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.
Chanty.com — Chanty is another alternative to Slack. It has a free forever plan for small teams (up to 10) with unlimited public and private conversations, searchable history, unlimited 1:1 audio calls, unlimited voice messages, 10 integrations and 20 GB storage per team. - Source: dev.to / over 1 year 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 / 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
Slack - A messaging app for teams who see through the Earth!
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Microsoft Teams - Microsoft Teams provides the enterprise-level security, compliance and management features you expect from Office 365, including broad support for compliance standards, and eDiscovery and legal hold for channels, chats, and files.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.