Based on our record, Marvel should be more popular than TensorFlow. It has been mentiond 12 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.
Marvelapp.com — Design, prototyping, and collaboration, free plan limited to one user and project. - Source: dev.to / 4 months ago
At this stage your main goal should be to prototype it and test it with people to validate the idea. Or at the very least have something people can look at and respond to. Don’t worry about building a coded and working version yet. Start with a clickable prototype which can be built using design tools. Most people use Figma these days but if you’re just starting out you could use something like Marvel, which is... Source: about 1 year ago
Marvelapp.com — Design, prototyping and collaboration, free plan limited to one user and one project. - Source: dev.to / over 1 year ago
Hi, I am doing research on some of the user testing tools out there like lookback.io, Marvelapp.com, maze.design, usabilityhub.com, userbrain.net, usertesting.com, userzoom.com. I would like to know about your experience. Source: over 1 year ago
As far as I can remember, I saw https://marvelapp.com/ doing it to add a prototype to the homescreen. Source: about 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: almost 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
Invision - Prototyping and collaboration for design teams
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Zeplin - Collaboration app for UI designers & frontend developers
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.