Usersnap
BugHerd
Marker.io
Userback
Canny.io
Hotjar
Pastel
Frill
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Usersnap is more than a platform to collect and manage feedback: we pave the road for customer-led growth. Usersnap helps digital products increase feedback interactions and gather insights on customer problems. How?
Usersnap empowers startups to agile enterprises to avoid failures and build products that matter, all with the clarity of customer feedback.
Usersnap TensorFlowUsersnap is highly recommended for development and design teams, project managers, and customer support teams who need a reliable tool to gather feedback, track bugs, and ensure higher quality in their software development process.
Based on our record, TensorFlow should be more popular than Usersnap. 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.
We are using User Snap. https://usersnap.com/. Source: about 3 years ago
Https://usersnap.com/ could be an option. - Source: Hacker News / almost 4 years ago
Accelerate growth of your business with the right customer feedback! We provide some proven strategies and tactics to prioritize customer experience for increased revenue. Source: over 4 years ago
Indicate how well your product perform with the help of user feedback! This helps you to identify areas where you still fall short and improve them by taking active measures. Source: almost 5 years ago
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
BugHerd - BugHerd: The Website Feedback Tool for Agencies
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Marker.io - Visual feedback and bug reporting tool for websites
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
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.