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Deep learning with Python : comprehensive beginners guide to learn and understand the realms of deep learning with Python / Brian Walker.

Por: Tipo de material: TextoTextoIdioma: Inglés Editor: [S. l. ] : [s. n.] , [2019]Fecha de copyright: ©2019Descripción: 144 páginas : ilustraciones ; 23 cmTipo de contenido:
  • texto
Tipo de medio:
  • sin mediación
Tipo de soporte:
  • volúmen
ISBN:
  • 9781075277313
  • 1075277310
Tema(s): Clasificación CDD:
  • 005.133 W17d 2019
Resumen: 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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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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