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.



DOWNLOAD
uploadgig.com


rapidgator.net


nitro.download