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SproutSocial might be a bit more popular than TensorFlow. We know about 8 links to it since March 2021 and only 7 links to 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.
You can check the hype about Sprout Social with a thirty-day free plan. After the trial ends, you will have to pay $89 monthly to keep your account running. Source: about 1 year ago
Sprout Social is another social media management tool that allows you to schedule posts on multiple platforms, including Facebook. It offers features such as customizable scheduling, analytics, and team collaboration. Sprout Social has paid plans starting at $99 per month. - Source: dev.to / over 1 year ago
What you **do** do, is engage a Social Media management company to come in and run a wide spectrum campaign across your target demographics over a period of time- and oh look [GameStopNFT's tweets](https://twitter.com/GameStopNFT/status/1527303196422508546) are all done by [Sprout Social](https://sproutsocial.com). Source: almost 2 years ago
Sprout social- The best social media management with deep insights and easy management features. Source: about 2 years ago
Sprout Social: The tool allows you to watch your competition on social media. - Source: dev.to / 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 / 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
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PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.