Based on our record, Softr should be more popular than TensorFlow. It has been mentiond 37 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.
Web Apps: - Start with Glideapps.com or softr.io - if you get comfortable and still like to build web apps learn bubble.io or weweb.io or flutterflow.com. Source: 7 months ago
Hey, My recommendation: - If you don't have previous knowledge start with one of the tools with a lower learning curve glideapps.com or softr.io - If you build a few apps with those, then I would start to learn one of the tools with a steeper learning curve like bubble.io , toddle.dev, flutterflow.com - Every week I talk with a successful No-Code Maker, maybe it can inspire you :) www.nocode-exits.com. Source: 7 months ago
You should try softr.io They have an amazing free plan. Source: 7 months ago
Softr.io empowers you to create full-stack apps without breaking a sweat. Turn your Airtable, Google Sheets, or SmartSuite into client portals and internal tools. No code required Its AI-driven development approach opens doors for non-developers to become app creators. Explore the magic of turning your ideas into functional applications. - Source: dev.to / 7 months ago
Softr.io = You get access to pre-built templates that you can edit any time. It comes with a generous free plan including free custom domain hosting. Source: 7 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 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
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Carrd - Simple, responsive one-page site creator.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Webflow - Build dynamic, responsive websites in your browser. Launch with a click. Or export your squeaky-clean code to host wherever you'd like. Discover the professional website builder made for designers.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.