TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Seranova
Birdeye
Podium
NiceJob
InsightReviews
Reviewnicely
BrightLocal
ReviewTrackers
Seranova is an automated reputation management platform designed for local service businesses that depend on Google Reviews to acquire customers. It replaces manual follow-ups, inconsistent review requests, and reactive problem handling with a predictable, automated workflow.
The platform sends post-job feedback requests via SMS, analyzes customer responses using sentiment analysis, and routes the interaction based on the message's tone. Positive replies receive a Google Review link, neutral replies receive a simple clarifying question, and negative replies are escalated privately to the owner or manager before all of them are asked for a public review, giving the owners one more chance to correct whatever went wrong. This prevents minor issues from turning into public one-star reviews.
Seranova includes smart routing rules, draft responses for public reviews, and precise analytics that show patterns in feedback across technicians, locations, or service types. It is built specifically for industries like HVAC, plumbing, electrical, roofing, restaurants, salons, and clinics, where a high Google rating directly impacts bookings, revenue, and local search visibility.
The goal of Seranova is to help owners stay ahead of customer sentiment, improve service quality over time, and maintain a steady stream of authentic five-star reviews without manually chasing customers or micromanaging technicians.
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Based on our record, TensorFlow seems to be more popular. It has been mentiond 8 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 open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months 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 3 years 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: about 4 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 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Birdeye - AI Agents for Multi-Location Brands
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Podium - Podium helps your business get more customer reviews, manage customer feedback, customer interaction, and online review management from one software.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
NiceJob - Get more reviews and build an build an awesome reputation with NiceJob.