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Based on our record, ImageKit.io should be more popular than TensorFlow. It has been mentiond 13 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.
Having the server decide the image format based on the accept header is simpler. Services like https://imagekit.io/ (no affiliation) can do that for you. - Source: Hacker News / 2 months ago
Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: about 1 year ago
Use any third-party service to store images like Cloudinary , imagekit etc... And store image URLs in your database. If you have fewer images you keep image URLs directly in your APIs. Source: over 1 year ago
Imagekit.io – Image CDN with automatic optimization, real-time transformation, and storage that you can integrate with existing setup in minutes. Free plan includes up to 20GB bandwidth per month. - Source: dev.to / over 1 year ago
We'll be using Multer to handle file uploads on our server and imagekit will do all our media heavy lifting. I chose these tools because I just found them easier to use and the latter has a very elaborate documentation (and a free tier too 😋). - Source: dev.to / over 1 year 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
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.