The book describes the practical tasks of creating neural networks, which are used to train artificial intelligence systems. Book Title: 120 Practical Tasks to Create Neural Networks Джейд Картер 2024 Pages: Genre: Technology, Artificial Intelligence, Machine Learning Overview: In "120 Practical Tasks to Create Neural Networks," [Insert Author's Name] provides a comprehensive guide to creating neural networks, covering both the theoretical foundations and practical applications of this technology. The book is divided into 120 practical tasks that walk readers through the process of developing and training artificial intelligence systems using neural networks. Each task builds upon the previous one, gradually increasing in complexity and difficulty, allowing readers to master the concepts and techniques presented in the book. The book begins by introducing the basics of neural networks, including the history of their development, the principles of how they work, and the different types of neural networks available. From there, it delves into more advanced topics such as the use of neural networks in computer vision, natural language processing, and deep learning.

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