As a former classroom teacher of French and Spanish, English Language Arts, and Social Studies, my business now is creating resources for language teachers to tell stories and teach about culture, geography, history, and other content...in a language that may be quite new to the students. So, with that kind of work, you can bet I am always on the lookout for the best tools to visually scaffold the information so it is easier to understand through pictures, icons, and other design elements. I use Storyboard That almost every single day in my work on these materials. Since the resources are for (mostly) children and teens, I prefer a comic or cartoon-y style. Storyboard That is my go-to "character generator." I use it to make and pose characters into scenes and then I combine these groups of characters with Canva, to create PNGs that I then make into presentations for giving mini-lessons in class, texts for kids to read in class, etc. For me, Canva AND Storyboard That together are the perfect solution, and the price is right, for my purposes, as Pixton (which integrates directly with Canva) charges about $500 a year for the rights to replicate your work using their library for commercial purposes, whereas Storyboard That is only $12 or so a month, which includes that permission level for your original compositions. Pixton without that level of permission is about $40 a month, so you would need to think about what the integration of the two would be worth for you in terms of efficiency or the available images and effects in Pixton. For $144 a year, Storyboard That is an excellent option for me. And for free, you can create three active storyboards at a time, so you could potentially use it and never pay a dime.
Based on our record, TensorFlow should be more popular than Storyboard That. 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.
If you're feeling overwhelmed, you can also use free comic book making software like storyboardthat.com. Source: almost 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 2 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: almost 3 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 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 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 3 years ago
Boords - Making storyboards can be fiddly.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Storyboarder - Storyboarder makes it easy to visualize a story as fast you can draw stick figures.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Pixton - Our goal at Pixton Comics is to enable everyone in the world to make comics.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.