Gumlet Video streamlines the process of uploading, transcoding, optimizing, hosting, and analyzing videos, enabling rapid streaming to vast audiences. Gumlet Image Optimization enhances website speed, responsiveness, user experience (UX), and search engine optimization (SEO).
Gumlet is loved by 8000+ businesses and start-ups and delivers over 1.5 Billion media files daily. With an average optimization rate of 54%, Gumlet offers an exceptional video and media experience for users across websites and applications.
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Image loads fast, im impressed with the speed and ease of installation. I have successfully deployed them on afew of my websites and it improves my overall loading speed.
Gumlet is a wonderful little tool that I use for optimising your images and thus your website loading speeds. We use it for our work (and client projects) and it works very well!
Pros: - Inbuilt CDN - Easy integration with Wordpress - on-the-fly image manipulation is awesome - Supports CNAME now!
Cons: - Missing some smart (AI-like) image manipulation features that Cloudinary has like Smart/Face-cropping for example. Would love to have those!
Gumlet is easy to implement and instantly improves the performance of your site. I compared to other providers and was happy to see that it outperforms the competition
Based on our record, TensorFlow seems to be more popular. 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: 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
Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
ImageKit.io - Instant multi-platform image optimization
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.