AscendixRE is a commercial real estate CRM that is available on top of Salesforce or Microsoft Dynamics 365. Manage your properties, leases, listings, deals, contacts, accounts, activities in one place and from anywhere. Intuitive deal flow, interactive stacking plans, advanced search, commission calculations. We have no user minimum for our Salesforce version, and individual brokers love it.
Learn more at https://ascendix.com/ascendixre-commercial-real-estate-crm/
Based on our record, TensorFlow should be more popular than AscendixRE CRM. 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.
AscendixRE Pricing offerings range from $49 user/month for xRE Foundations plan (with no user minimum, billed annually) to $99 user/month for xRE Unlimited (also with no user minimum, billed annually). Free trial – 30 days. Source: over 2 years ago
AscendixRE CRM is designed specifically for Commercial Real Estate needs. It's a pre-configured tool that can be put on top Salesforce and Dynamics 365 functionality. Thanks to this you can have a robust CRM that has all the security and flexibility benefits of these two CRM giants customised specifically for CRE, Real Estate, Land and Construction industry needs. Source: over 2 years ago
AscendixRE is a commercial real estate CRM on top of Salesforce for managing your properties, leases, listings, deals, contacts, accounts, activities in one place and from anywhere. Source: about 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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