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Based on our record, TensorFlow should be more popular than Keap. 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.
The competitors like Groundhogg and Keap are going to get some "switchers". Folks looking to stay on a budget, especially in times of economic uncertainty are going to look for good alternatives. Source: over 1 year ago
Here's a few: • BuzzSumo - a great tool for getting content insights on any topic (content strategy, influencer marketing, etc.) • ActiveCampaign - CRM, marketing, and e-mail marketing automation for e-com, B2C AND B2B • Keap - simple automation for sales and marketing • Bitrix24 - good CRM for beginners (solid free plan). Source: over 2 years ago
Keap offers an e-mail marketing and sales platform for small businesses, including products to manage and optimize the customer lifecycle, customer relationship management, marketing automation, lead capture, and e-commerce. The Keap node and Keap Trigger node allow you to manage companies, contacts, contact notes and tags, ecommerce orders and products, emails, and files. - Source: dev.to / almost 3 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
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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.
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.