SKU/Artículo: AMZ-B0DPS2YVB6

Neural Networks and Deep Learning: From Concepts to Innovations

Format:

Paperback

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.38 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
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USA

Sobre este producto
  • Neural Networks and Deep Learning: From Concepts to Innovations" is a comprehensive guide that bridges foundational principles with cutting-edge advancements in artificial intelligence. Designed for both beginners and practitioners, this book offers a clear pathway from understanding the basics of neural networks to exploring their modern applications and innovative techniques.The journey begins with an accessible introduction to neural networks, explaining key concepts like perceptrons, activation functions, backpropagation, and gradient descent. The book dives into deep learning architectures such as convolutional neural networks (CNNs) for image processing, recurrent neural networks (RNNs) for sequential data, and transformers for natural language understanding. Each chapter includes practical examples and step-by-step implementations to solidify learning.Moving beyond the fundamentals, the book delves into emerging innovations that are transforming the field. Topics include transfer learning for leveraging pre-trained models, federated learning for secure decentralized data processing, and neural architecture search (NAS) for automated model design. These chapters showcase how innovations are enabling more efficient and scalable AI solutions.The book also addresses critical challenges such as overfitting, model interpretability, and ethical considerations in AI, equipping readers to develop responsible and effective neural network applications. Practical use cases in fields like healthcare, finance, robotics, and creative AI are highlighted to demonstrate real-world impact."Neural Networks and Deep Learning: From Concepts to Innovations" balances theoretical depth with hands-on learning, making it an essential resource for students, researchers, and professionals eager to stay at the forefront of AI advancements.
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