AI frameworks provide the essential tools and libraries developers need to build, train, and deploy machine learning models efficiently. In this blog, we explore popular AI frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Learn how these platforms support deep learning, NLP, computer vision, and custom AI applications across various industries. We discuss their key features, performance capabilities, and use cases, helping you choose the right framework for your project. Whether you’re a beginner or an experienced developer, understanding AI frameworks is crucial for creating scalable and high-performance intelligent systems.
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