Founded in 2019 by video game veterans. FleetDeck uses a purpose built custom video codec designed for progressively streaming an operating system. Remote desktop sessions use true end-to-end encryption with ephemeral private keys that never leave your devices.
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TensorFlow might be a bit more popular than FleetDeck.io. We know about 7 links to it since March 2021 and only 5 links to FleetDeck.io. 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.
If you're just looking for Remote Support/Unattended access, check out https://fleetdeck.io/. Source: about 2 years ago
We just started using FleetDeck. It's pretty barebones, but it's also very simple. And the price is right - starts at $5/month for 1 tech/50 computers. Source: about 2 years ago
Https://fleetdeck.io/ or https://control.connectwise.com/. Source: about 2 years ago
You could take a look at FleetDeck, not terribly feature rich, but it's quick and extremely affordably priced. Source: about 2 years ago
For personal stuff/family I switched to FleetDeck and I'm very happy with it so far. For work we still use ConnectWise and probably will for a long time coming. Source: over 2 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: about 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
Getscreen.me - Remote access from a browser. Free trial is available. Simple and easy to use screen sharing software.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Renderro - Powerful cloud desktop for creatives like you.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Myrtille - Remote desktop from any browser
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.