Based on our record, React Native should be more popular than Keras. It has been mentiond 213 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.
There was always a tiny sparkle in me telling me that I want to develop mobile apps but I never pursued it. It always felt a bit complicated for me to learn development processes in a completely different industry. I did try developing mobile apps using React Native but it never felt right for me. Also, I already tried to write some Kotlin code and so far I like it, but the whole Android ecosystem is still pretty... - Source: dev.to / 5 days ago
Recently, there has been a notable shift in mobile application development practices. Rather than creating separate applications for each native platform, many developers are opting for hybrid mobile frameworks like React Native. - Source: dev.to / about 1 month ago
React Native [ https://reactnative.dev/ ]. - Source: dev.to / about 1 month ago
Versatility: JavaScript is not limited to web browsers. It's used in a variety of environments, including mobile app development (using frameworks like React Native), game development (using libraries like Phaser), and even serverless computing (using platforms like AWS Lambda). - Source: dev.to / about 1 month ago
In the competitive landscape of mobile app development, user experience (UX) has emerged as a critical differentiator. React Native, with its robust framework and versatile capabilities, offers developers a powerful toolkit to create seamless and engaging user experiences. This blog post delves into the design principles and best practices in React Native app development, uncovering how developers can elevate user... - Source: dev.to / about 1 month ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 10 days ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 19 days ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: 12 months ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
jQuery - The Write Less, Do More, JavaScript Library.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Flutter.dev - Build beautiful native apps in record time 🚀
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Babel - Babel is a compiler for writing next generation JavaScript.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.