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Deep Learning con Python (TÍTULOS ESPECIALES)
KMF 35376
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- El aprendizaje automático ha progresado de manera notable en los últimos años. Hemos pasado del discurso casi inutilizable y el reconocimiento de imágenes a una precisión casi humana. Hemos pasado de máquinas que no podían ganar a un jugador de go decente a derrotar al campeón del mundo. Tras este progreso se encuentra el deep learning, una combinación de avances en ingeniería, prácticas adecuadas y teoría que permite crear una gran abundancia de aplicaciones inteligentes que antes eran imposibles. Deep Learning con Python presenta el campo del deep learning utilizando el lenguaje Python y la potente biblioteca Keras. Escrito por François Chollet, creador de Keras e investigador de Google AI, este libro desarrolla su comprensión mediante explicaciones intuitivas y ejemplos prácticos. Explorará conceptos complicados y practicará con aplicaciones en visión por ordenador, procesamiento de lenguaje natural y modelos generativos. Para cuando acabe, tendrá el conocimiento y las habilidades prácticas para aplicar el deep learning a sus propios proyectos.
| Publisher | ANAYA MULTIMEDIA |
| Publication date | 31 Jan. 2020 |
| Edition | edition |
| Language | Spanish |
| Print length | 384 pages |
| ISBN-10 | 8441542252 |
| ISBN-13 | 978-8441542259 |
| Item weight | 613 g |
| Dimensions | 17.5 x 2.1 x 22.5 cm |
Who Should Buy?
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Beginner Learners
Individuals new to deep learning will benefit from the clear explanations and accessible coding examples provided.
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Python Enthusiasts
Developers familiar with Python can deepen their understanding of deep learning concepts and implement algorithms effectively.
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Students in AI
University students studying artificial intelligence will find this book a valuable resource for theoretical and practical knowledge.
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Advanced Practitioners
Experienced professionals may find the content too basic and lacking in advanced techniques or cutting-edge research.
Product Description
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Pros
- Clear explanations of concepts
- Good examples and exercises
- Covers essential topics
- Accessible for beginners
- Well-organized structure
Cons
- Some topics could use deeper detail.
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