AI frameworks provide the essential tools for building, training, and deploying artificial intelligence models across various domains. This blog explores the most popular AI frameworks, such as TensorFlow, PyTorch, Scikit-learn, and Keras, and how they support different AI and machine learning workflows. Learn how these platforms offer pre-built modules, scalability, and efficient computing for tasks like image recognition, natural language processing, and predictive modeling. Understand the criteria for selecting the right framework, including ease of use, community support, and performance benchmarks. Discover how developers leverage these frameworks to build smart, adaptable systems for business, healthcare, finance, and more.
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