Based on our record, Inoreader should be more popular than TensorFlow. It has been mentiond 14 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.
Were can I set in inoreader.com settings so that the articles opens in normal web browser tab and not the light version of the article? Ive been checking the settings but cannot find any settings to change this. (Feedly calls this option "open in website directly"). Source: 12 months ago
As an alternative, you can use Feedbro or Inoreader. Source: about 1 year ago
I've Inoreader subscription for several years. It is not specific to Mac, though. But it has been particularly valuable for me with their server-side filters and deduplication. Recently, they added Newsletter subscriptions and website subscriptions for sites which don't offer RSS feeds. Pretty nifty if you need them. Source: about 1 year ago
Was using Feedly but it stopped working a couple years ago. Now I use inoreader - it has a nice interface on both web and in the app, and you can follow more than just RSS (customizable keyword searches) in the paid version. Source: over 1 year ago
No ability to customize font-size, and it's waaaaay too big for me on all platforms. This results in tons more scrolling that what's needed with Raindrop and Inoreader <-- major dealbreaker for me. 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
Feedly - The content you need to accelerate your research, marketing, and sales.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Tiny Tiny RSS - Web-based news feed aggregator, designed to allow you to read news from any location, while feeling...
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
NewsBlur - NewsBlur is a personal news reader that brings people together to talk about the world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.