This book delves into the fascinating world of machine learning, exploring how algorithms are enabling machines to mimic human thought processes and capabilities. Neural Networks: The book introduces the concept of neural networks, computational models inspired by the human brain. These networks consist of interconnected nodes, or neurons, that process information in layers. Deep Learning: Deep learning, a subset of machine learning, involves training neural networks with multiple layers. This allows machines to learn complex representations of data, enabling them to excel in tasks such as image recognition, natural language processing, and speech synthesis. Reinforcement Learning: Reinforcement learning focuses on teaching machines to make decisions through trial and error.Ethical Considerations: As AI becomes increasingly sophisticated, the book also addresses the ethical implications of its development.
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Dr.Ishwarya M.V is working as Associate Professor & HOD in AIDS Department in Agni College of Technology.P.R.Ajitha is working as Assistant professor in AIDS Department in Dhanalakshmi Srinivasan college of engineering and technology.Dr.M.Nithya is working as Professor & HOD in CSE (5year integrated) in Sri Sairam Engineering College.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book delves into the fascinating world of machine learning, exploring how algorithms are enabling machines to mimic human thought processes and capabilities. Neural Networks: The book introduces the concept of neural networks, computational models inspired by the human brain. These networks consist of interconnected nodes, or neurons, that process information in layers. Deep Learning: Deep learning, a subset of machine learning, involves training neural networks with multiple layers. This allows machines to learn complex representations of data, enabling them to excel in tasks such as image recognition, natural language processing, and speech synthesis. Reinforcement Learning: Reinforcement learning focuses on teaching machines to make decisions through trial and error.Ethical Considerations: As AI becomes increasingly sophisticated, the book also addresses the ethical implications of its development.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch. Bestandsnummer des Verkäufers 9786208225926
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book delves into the fascinating world of machine learning, exploring how algorithms are enabling machines to mimic human thought processes and capabilities. Neural Networks: The book introduces the concept of neural networks, computational models inspired by the human brain. These networks consist of interconnected nodes, or neurons, that process information in layers. Deep Learning: Deep learning, a subset of machine learning, involves training neural networks with multiple layers. This allows machines to learn complex representations of data, enabling them to excel in tasks such as image recognition, natural language processing, and speech synthesis. Reinforcement Learning: Reinforcement learning focuses on teaching machines to make decisions through trial and error.Ethical Considerations: As AI becomes increasingly sophisticated, the book also addresses the ethical implications of its development. Bestandsnummer des Verkäufers 9786208225926
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