Based on our record, Shadow seems to be a lot more popular than TensorFlow. While we know about 320 links to Shadow, we've tracked only 7 mentions of TensorFlow. 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
Upgrade your gaming experience with ShadowPC! Use my referral code "80EDA79" at checkout to snag a cool 5€ off your first subscription. Game on! 🚀. Source: over 1 year ago
I had Shadow. There quite affordable when I registered and the hardware was top line. I was using it as my gaming PC for a long time (mainly for PCVR). I live in Spain and these days there wasn't dedicated servers here so I connected through Paris nodes (and that increased a bit the latency) but I play HL Alyx and a lot of games that way with good graphics (in that moment Shadow has a GTX1080 GPU) and great... Source: almost 2 years ago
Https://shadow.tech/ It’s a cloud PC. I used to use it until I got my current laptop. Not cheap but very good. Source: about 2 years ago
> But then Apple doesn't ship devices with actually powerful GPUs, so it can never compete with the gaming PCs which are far less expensive and far more powerfull graphics-wise. It is still expensive to have to use Windows just so you can game. Or put all the effort into dual booting Linux. Most people just use a Macbook and then get an Xbox/Ps5/Switch/Quest2. For games I can't use on those you can get Shadow PC... - Source: Hacker News / about 2 years ago
There is shadow.tech, which just gives you a full Windows Desktop with a little persistent disk. This should in theory work the way you want to. Source: about 2 years ago
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Parsec - Streams games locally or over the internet
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Geforce Now - Underpowered PC can now pack the punch of high-performance GeForce GTX GPUs with GeForce NOW.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Stadia - A new gaming platform from Google