Teamgate is a user-friendly, easy to use, yet extremely powerful CRM for Sales and SaaS professionals, from startup to enterprise.
We pride ourselves on empowering Sales and SaaS teams to increase their speed of execution across the entire sales cycle.
With an intuitive UI, essential integrations, and out of the box insights; Teamgate’s all-in-one platform facilitates true ICP targeting, unlocking your true sales potential.
Teamgate CRM's answer
Don't be fooled by the "shiny, big-named" CRMs. Test Teamgate out for yourself and you'll see that lower-price doesn't always indicate lower-quality.
Teamgate CRM's answer
Teamgate works with companies of all sizes from sole-traders and founders to industry giants like BMW.
Teamgate CRM's answer
Teamgate CRM's answer
Whilst Teamgate CRM is extremely power and easy to use, it's customer support is second to none, and better yet - included in every subscription.
Based on our record, TensorFlow seems to be more popular. 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.
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
Pipedrive - Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Zoho CRM - Omnichannel CRM for Businesses of all sizes
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Copper - Copper (formerly ProsperWorks) is easy-to-use customer relationship management for small businesses. Capture contacts and sales leads direct from Gmail with our simple CRM.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.