ARTIFICIAL INTELLIGENCE AND FRAMEWORKS USING DEEP LEARNING

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Published Date: 2024-11-07
Author Name: MS. ANKITA CHOURASIA , MS. VEDPRIYA DONGRE, MR. RAVINDRA VERMA, PROF. TITHIRUPA TAPASWINI

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Artificial Intelligence (AI) leverages deep learning frameworks to simulate human-like intelligence, enabling systems to process complex data, recognize patterns, and make decisions autonomously. Deep learning, a subset of machine learning, uses neural networks with many layers to model high-level abstractions in data. This technology powers applications in image and speech recognition, natural language processing, robotics, and predictive analytics. Popular deep learning frameworks such as TensorFlow, PyTorch, and Keras provide essential tools for building, training, and deploying AI models efficiently. These frameworks simplify the development process by offering pre-built modules and tools, making it easier for researchers and developers to create powerful AI applications. Together, AI and deep learning frameworks are advancing capabilities across numerous industries, transforming how we interact with technology.