Deep Learning in Practice By Mehdi Ghayoumi

Deep Learning in Practice By Mehdi Ghayoumi
English | 2021 | ISBN: 0367458624 | 219 pages | pdf | 40.74 MB

helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.


Key features:


  • emonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.


  • xplains and provides examples of deploying TensorFlow and Keras in several projects.


  • xplains the fundamentals of Artificial Neural Networks (ANNs).


  • resents several examples and applications of ANNs.


  • earning the most popular DL algorithms features.


  • xplains and provides examples for the DL algorithms that are presented in this book.


  • nalyzes the DL network's parameter and hyperparameters.


  • eviews state-of-the-art DL examples.


  • ecessary and main steps for DL modeling.


  • mplements a Virtual Assistant Robot (VAR) using DL methods.


  • ecessary and fundamental information to choose a proper DL algorithm.


  • ives instructions to learn how to optimize your DL model
    .



This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step.



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