Book Name: Introduction to Deep Learning Business Applications for Developers
Author: Armando Vieira, Bernardete Ribeiro
File size: 6.4 MB
File format: PDF
Introduction to Deep Learning Business Applications for Developers Pdf Book Description:
Discover the prospective programs, challenges, and opportunities of profound learning from a company standpoint with specialized illustrations. An Intro to Deep Learning Business Software for Developers covers several frequent DL calculations like content-based recommendation algorithms and natural language processing. You will explore illustrations, such as movie forecast with completely convolutional neural networks (FCNN) and residual neural networks (ResNets).
You’ll also notice applications of DL for controlling robotics, researching the DeepQ learning algorithm using Monte Carlo Tree hunt (used to overcome people from the game of Go), and modeling for monetary risk evaluation. There’ll also be reference of this powerful set of calculations known as Generative Adversarial Neural networks (GANs) which may be applied for picture colorization, picture conclusion, and style move. After studying this book you’ll get a summary of the fascinating area of profound neural networks along with an understanding of the majority of the main applications of profound learning. The book includes some programming examples, tips, and tips about the best way best to train profound learning models employing the Keras frame.
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