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Focusing on practical application, this second edition guides readers through developing neural network applications in Java. It begins with foundational rules of neural network processing, leading to a hands-on example for manual processing. Key concepts such as front and back propagation are explored in depth, enhancing understanding of neural network principles. Additionally, the book covers data preparation techniques essential for various unconventional tasks, equipping readers with the skills needed for effective neural network development.
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Artificial Neural Networks with Java, Igor Livshin
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- Année de publication
- 2021
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