Find Me Sales
Salesforce Einstein
Apollo.io
Salesforce
Amazon SageMaker
Warmbox.ai
Pega Platform
Dataiku DSS
TensorFlow
PyTorch
Keras
Scikit-learn
OpenCV
IBM Watson Studio
Amazon SageMaker
Pega Platform
Find Me Sales is a fast growing SaaS company based in London. We provide comprehensive sales software that helps business owners and sales people automate their sales research and outreach using AI. From a single click, our AI finds and reads a companies website to generate relevant sales intelligence. These leads can be put into automation flows and campaigns to generate sales actions to help build relationships and land business.
We are part of 5 accelerators including Google Cloud Startups Program, Natwest Entrepreneur Accelerator, Barclays Eagle Labs, Innovate UK Edge and Digital Catapult Machine Intelligence Garage.
Find Me Sales helps clients find B2B sales using AI automation. We work with customers in a wide range of industries to find the perfect businesses to convert from leads into sales.
Once a client chooses to analyse a lead in the Leadsearch database, our AI finds and reads the business website. It looks out for contact and social information, as well as people, places and context to give our clients all the information they need to close sales.
We provide automation flows and campaigns to automatically generate sales actions that clients can take with a single click. This might be connecting on social media or sending an email template directly from the Find Me Sales platform to get delivery and open feedback.
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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
Salesforce Einstein - Salesforce Einstein is an Artificial Intelligence designed into the core of the Salesforce platform, where it power the world’s smartest CRM.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Apollo.io - Apollo’s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Salesforce - CRM software solutions and enterprise cloud computing from salesforce.com, the leader in CRM and platform as a service.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
