What is Renderro?
It is like an easy to use AWS for creatives.
Renderro is DaaS (Desktop-as-a-service) for filmmakers, graphic designers, and animators. By using Renderro, users no longer need powerful hardware to operate more effectively, our DaaS can seamlessly handle large and complex 3D models, complicated video editing, and help reduce render time.
Our user can connect to Renderro using any device with a web browser - to quickly check up on his projects or download any file. For the best work experience, users can connect with a free desktop application for both Mac and Windows systems.
Setting up the Renderro workplace is just three easy steps, and requires absolutely no knowledge as to how the cloud technology works - it's as close to a plug-and-play experience as it gets.
Based on our record, TensorFlow should be more popular than Renderro. 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 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
We've got exactly that - https://renderro.com/. Source: about 2 years ago
Maybe a better choice to satiate your boss' ego/curiosity would be to obtain a free trial of Renderro, which tries to put the whole cloud computing thing on a flat-rate, per-month subscription model for small firms and independents. It would be similar to an Adobe subscription, rather than the more complicated per-cycle and CPU core models employed in cloud-computing solutions. I have no idea how well the... Source: over 2 years ago
FYI for anyone curious about this kind of service but looking for an up-and-running established Cloud PC vendor that specializes in creative apps, you can look at Renderro. Source: over 2 years ago
Or you can just skip all this setup and limit the cost to $49/mo with Renderro, getting a very similar rig available from anywhere. Happy to answer any questions, as I'm directly working with this startup. Source: over 2 years ago
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