Based on our record, Apollo.io should be more popular than TensorFlow. It has been mentiond 63 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.
Apollo.io seems popular for cold email. Source: 6 months ago
FAAANGM + ATlassian/Uber and similar product based companies 85 lacs - 1.1 cr Startups like coinbase / apollo.io / rippling 80+. Source: 8 months ago
Their data seems pretty good and their features are awesome, but they had a couple of glitches this week that are annoying me. I know they seem to be the best, but has anyone bested them yet? Curious if there's anything out there that's better than Apollo.io. Source: 10 months ago
Tons of options: apollo.io is popular and affordable. If you're looking for recently funded company contact info, saasydb.com is good. Source: 11 months ago
I agree with most people here in that its invaluable. Especially when paired with some other tools like apollo.io and autobound.ai. Source: 11 months 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
Hunter - Find all the email addresses related to a domain
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Lusha - Search less. Sell more.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.