What is TensorFlow?

TensorFlow is like Google’s gift to the world of machine learning. It’s an open-source framework they made to make it easier to build and use machine learning models, especially neural networks. It’s pretty flexible, so developers can use it to create all sorts of machine-learning models.

Key Features of TensorFlow:

1. Neural Network Support: If you’re looking to build neural networks or deep learning models, TensorFlow’s got your back with its handy APIs.
2. High Performance: It’s built to be super fast and can even use GPUs to speed things up.
3. Scalability: Whether you’re working on a mobile app or a big distributed system, TensorFlow can scale to fit your needs.
4. Extensive Ecosystem: TensorFlow has a whole family of tools and libraries. There’s TensorFlow Lite for mobile and embedded devices, TensorFlow.js for web apps, and TensorFlow Extended (TFX) for setting up machine learning pipelines for production.

OpenCV and TensorFlow are two big names in computer vision and machine learning. They’re both super useful for building all sorts of apps. Even though they can do some of the same things, they each have their special strengths. In this article, we will understand about the difference between OpenCV and TensorFlow.