TensorFlow, developed by Google, is one of the most popular open-source frameworks for building and deploying machine learning and deep learning models. This TensorFlow Tutorial 2025 is designed to help beginners and professionals understand the core concepts of AI through practical, hands-on projects.

With TensorFlow, you can create powerful neural networks for tasks like image classification, natural language processing, and predictive analytics. Its flexibility and scalability make it suitable for both small experiments and large-scale production systems.

In this tutorial, we’ll explore TensorFlow basics, including tensors, computational graphs, and key functions like tf.constant and tf.Variable. You’ll also learn how to build, train, and evaluate deep learning models step by step.

By the end of this tutorial, you’ll not only master the fundamentals but also gain real-world experience by working on AI-driven projects.