Name: An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning (en Inglés)
Price: 461.61 PEN
Availability: InStock
Author: Dube, Simant
ISBN: 9783030686239

portada An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning (en Inglés)

Formato

Libro Físico

Autor

Simant Dube

Editorial

Springer

Idioma

Inglés

N° páginas

352

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 2.2 cm

Peso

0.70 kg.

ISBN13

9783030686239

Categorías

Reconocimiento de formas
Visión por ordenador

An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning (en Inglés)

Simant Dube (Autor) · Springer · Tapa Dura

Libro Nuevo

S/ 461,61

S/ 923,22

Ahorras: S/ 461,61

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 26 de Julio y el Martes 06 de Agosto.

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Reseña del libro "An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning (en Inglés)"

This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future.An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential.The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.