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SKU/Artículo: AMZ-B0DPPVHMK6
Practical Guide to Deep Learning with Keras and TensorFlow: Architecting AI Solutions
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.51 kg
0.51 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Practical Guide to Deep Learning with Keras and TensorFlow: Architecting AI Solutions is a comprehensive resource for mastering deep learning and artificial intelligence (AI) with two of the most popular frameworks: Keras and TensorFlow. This book takes readers from the foundational concepts of deep learning to advanced applications in real-world projects, emphasizing practical, hands-on implementation.In the opening chapters, readers are introduced to the basics of deep learning, neural networks, and the ecosystem of TensorFlow and Keras. The book offers step-by-step guidance on setting up the frameworks and prepares readers for building their first models, whether it's for image classification, natural language processing (NLP), or time series forecasting.The core sections delve deep into the architecture and construction of neural networks, including advanced models such as convolutional neural networks (CNNs) for computer vision tasks and recurrent neural networks (RNNs) for sequence data analysis. Emphasis is placed on best practices for model optimization, fine-tuning hyperparameters, and evaluating performance metrics to ensure the models are efficient and accurate.Building on this foundation, the book explores more advanced topics, including the use of transformers, generative models (like GANs and VAEs), and graph neural networks (GNNs). The focus is on real-world applications, demonstrating how deep learning is applied in industries such as healthcare, finance, autonomous vehicles, and entertainment.Lastly, the book offers a practical approach to deployment, showing how to optimize models for scalability, implement real-time applications, and leverage cloud services. Readers will learn how to deploy models efficiently using TensorFlow Lite for mobile devices and TensorFlow.js for web-based applications.This guide is designed for data scientists, AI enthusiasts, and engineers seeking a practical, results-driven approach to mastering deep learning.
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U$S 28,78
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