SKU/Artículo: AMZ-B0DPH118NL
Mastering MATLAB for Deep Learning: Advanced Techniques and Real-World Applications
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.46 kg
0.46 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Mastering MATLAB for Deep Learning: Advanced Techniques and Real-World Applications offers a comprehensive guide to leveraging MATLAB for deep learning projects. This book is designed for readers who have a foundational understanding of deep learning and are looking to dive deeper into advanced techniques and real-world applications. It explores the use of MATLAB's powerful tools and libraries to build and deploy deep learning models, while also offering practical guidance on optimizing and fine-tuning these models.The book covers essential concepts such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning, all within the MATLAB ecosystem. Detailed examples show how to apply these architectures to various applications, from image and speech recognition to natural language processing (NLP) and robotics. Each chapter highlights specific techniques such as transfer learning, hyperparameter tuning, and model evaluation, providing readers with hands-on experience in applying these methods to real-world problems.One of the strengths of the book is its project-based approach. Through a series of practical projects, readers learn how to implement complex deep learning models in MATLAB, using real datasets. The book also covers deployment techniques, enabling users to take their models from development to production.By the end of the book, readers will be equipped with a solid understanding of how to use MATLAB for advanced deep learning tasks and how to apply these techniques to tackle a variety of challenges in fields like healthcare, finance, and autonomous systems.
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AR$60.904
49% OFF
AR$31.233
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