Deep learning with Python : comprehensive beginners guide to learn and understand the realms of deep learning with Python / Brian Walker.
Tipo de material: TextoIdioma: Inglés Editor: [S. l. ] : [s. n.] , [2019]Fecha de copyright: ©2019Descripción: 144 páginas : ilustraciones ; 23 cmTipo de contenido:- texto
- sin mediación
- volúmen
- 9781075277313
- 1075277310
- 005.133 W17d 2019
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libro | Biblioteca Central | Colección General | 005.133 W17d 2019 (Navegar estantería(Abre debajo)) | Disponible | 33409003113309 |
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005.133 V252L 2007 Lenguaje de programación I : programación orientada a objetos en C++ | 005.133 V471d 2007 Data structures outside in with Java / | 005.133 W135p 2013 Python in a day : learn the basics, learn it quick, start coding fast / | 005.133 W17d 2019 Deep learning with Python : comprehensive beginners guide to learn and understand the realms of deep learning with Python / | 005.133 W556a 2011 Arduino internals / | 005.133 W959i 2001 An introduction to object-oriented programming with Java / | 005.133 W959ib 2001 Introducción a la programación orientada a objetos con Java / |
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Artificial intelligence takes many shapes and forms. At this point in its evolution, machine learning and deep learning are two of the most common shapes it takes. This is primarily because we are at a point where we have discovered how to create networks of information that can actually be filtered and processed just as a normal human cognitive process would be. Beyond all those shapes and forms of AI, though, this entire concept is built based on a few basic ideas: Information is power, Neural networks can imitate the human brain, Programmers can create machine programs that enable them to filter information in a specific way, that allows them to draw conclusions and grow their learning based on that.
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