TensorFlow might be a bit more popular than Mailshake. We know about 7 links to it since March 2021 and only 5 links to Mailshake. 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.
When it comes to selecting a client for sending your emails, there are countless options to choose from. We're not affiliated with any specific one, but we've found QuickMail to be effective for maximizing deliverability. While the user interface could be improved, it gets the job done and we haven't found a compelling reason to switch. Other popular alternatives include Instantly, Lemlist, MailShake, and many... Source: over 1 year ago
Create an account on mailshake.com > create a simple automated email funnel of 2 emails, one that sends 7 days after the first one. Source: almost 2 years ago
Lemlist to send emails or Mailshake as another good option. I prefer Lemlist as IMO has a better UI and includes warming-up service. Source: about 2 years ago
Do outreach and follow ups at scale. If you do this right and follow up well, your reply rates sky rocket. For my own job search, I used an email automation tool from Hunter but Mailshake and other tools work too. Source: over 2 years ago
For this, I'm currently using MailShake: https://mailshake.com/. Source: over 2 years 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
lemlist - Send emails that get replies 💌
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Campaign Monitor - Email marketing software built for designers and their clients to run successful email campaigns.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.