TensorFlow might be a bit more popular than Cushion. We know about 7 links to it since March 2021 and only 6 links to Cushion. 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.
I used Cushion for this and I can’t recommend it enough. It does exactly what you’re describing without the need to build out a system in another project management software and it’s designed for freelancers out of the box. It also has built in invoicing and income projections for the year which I found indispensable for just…making sure I made enough money. It does cost money (I want to say $119 a year?) but for... Source: about 1 year ago
Have you tried a service like https://cushionapp.com/? Source: about 1 year ago
I have created several shortcuts for logging time and creating timers for my time tracker of choice, Cushion. Source: about 2 years ago
Cushionapp.com has great timelines and charts. Source: over 2 years ago
I’ve previously tried Harvest and found that it was just quite heavily geared towards teams (whereas I’m just one person). I’ve also tried Cushion (cushionapp.com), which does seem great and do most of what I want, but doesn’t integrate with Xero (thought it says it does - the integration doesn’t work). 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
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