Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business. Sign up for a 14-day free trial.
Pipedrive has made our business much more efficient in following up deals. Keep track of deals, meetings, mails and phone calls all in one place. We can quickly follow up on offers and used Pipedrive's automations and API to integrate our Vizito trials directly into Pipedrive.
It offers the most flexibility while maintaining an easy-to-use interface and their support is superb!
Keep up the great work!
All alternatives are good but we prefer Pipedrive because of its great customization and most fit for company/business development.
Based on our record, TensorFlow should be more popular than Pipedrive. 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.
I feel like Microsoft could offer a more robust CRM than what's present with 'Contacts' under Outlook, and pretty easily. Something like Pipedrive... I mean it could syncronize all the datapoints that local Microsoft programs already have access to: mail, contacts, projects, teams, and LinkedIn. Source: over 1 year ago
Pipedrive ā our CRM for tracking leads, tasks, conversations, and deals. We chose Pipedrive because it does a good job of providing an intuitive and relatively simple CRM while still having enough features to track our sales conversations. Pricing is accessible. 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
Zoho CRM - Omnichannel CRM for Businesses of all sizes
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Freshsales CRM - A full-fledged CRM for high-velocity sales teams.
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.