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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
Congrats on coronavirus.app, I actually used it a ton a while back. You can actually control behavior between desktop/mobile, you just need to build two different pages and set a temp page on load that id's which device the user is on, and based on that it would send them to page.com or page.com/mob. Source: almost 3 years ago
I also built coronavirus.app. Most of the logic could have been developed with Bubble. The responsiveness of the design, I'm not so sure, though. If you're looking to have complete control on how things look, Bubble probably won't be enough. Or if you want the app to behave substantially differently on mobile and desktop, no-code probably isn't the right tool for the job. Also, I'm not sure how well Bubble scales.... Source: almost 3 years ago
The video had almost exclusively graphs from OWID (posted before) and also coronavirus.app but organized and presented in a certain way. Source: almost 3 years ago
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
The COVID Pages - A crowdsourced directory of resources to ease the crisis 🌎
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Just stay home - Track the coronavirus (covid-19) pandemic per country 🌍
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
C-19 COVID Symptom Tracker - Self-report COVID-19 symptoms & help slow the spread 🇬🇧