TensorFlow is one of the most popular and widely-used machine learning frameworks in the world, with a large and active community of users and developers. It is backed by Google, which ensures ongoing development and support.

There are several reasons why learning TensorFlow is a good investment in 2023:

1. Industry demand: TensorFlow is used by many companies and organizations for a wide range of applications, including image recognition, natural language processing, and robotics. Learning TensorFlow can increase your job prospects and open up opportunities in many different fields.
2. Community support: TensorFlow has a large and active community of users and developers, which means that there are many resources available for learning and troubleshooting. This community also ensures ongoing development and improvement of the framework.
3. Flexibility: TensorFlow is a very flexible and powerful framework, which means that it can be used for a wide range of machine learning applications. It supports both deep learning and traditional machine learning algorithms, and it can be used on a variety of platforms and devices.
4. Integration: TensorFlow integrates well with other technologies and tools, including Google Cloud Platform, Docker, and Kubernetes. This makes it a good choice for building scalable and production-ready machine learning applications.

In summary, TensorFlow is still a valuable and relevant machine learning framework to learn in 2023, and it can provide many benefits for both personal and professional development in the field.