Based on our record, Pexels seems to be a lot more popular than TensorFlow. While we know about 101 links to Pexels, we've tracked only 7 mentions of 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.
Side note: You can get really really nice stock photos from pexels.com - I usually find a great option in like 3 scrolls. It's dope. Source: 12 months ago
Bring your website alive with some images. If you do not have suitable pics, use copyright free photo's from pexels.com or unsplash.com Make sure your chosen pics have a somewhat consistent look. Source: about 1 year ago
The audio quality is great! Your content as well is sound. The message and script are great, but I feel that the content may be a bit monotonous for some. In an atmosphere where most viewers have a shorter attention span, I would recommend condensing more of your core message into a shorter form. B-roll is a great way to make the attention flow better, you can find some free video at a site like pexels.com to... Source: about 1 year ago
Affordable stock photos - pexels.com is great, lots of other as well like freepik.com, etc, etc. Source: about 1 year ago
To keep videos interesting, add in free b roll from pexels.com or canva.com. On Canva just go to the elements, then videos, and see what they have for free. Source: 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
Unsplash - Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Pixabay - Over 270,000 free photos, vectors and art illustrations
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Shutterstock - Shutterstock is a provider of stock photos, illustrations, and vector art. The website allows individuals to purchase a subscription and download copyrighted art for creative projects. Read more about Shutterstock.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.