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Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects /

Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular lib...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Loy, James (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing, 2019.
Subjects:
Online Access:Texto completo
Texto completo
Description
Summary:Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
Item Description:Includes index.
Physical Description:1 online resource (v, 295 pages) : illustrations
ISBN:9781789133318
1789133319