Deep Learning For Dummies
ISBN: 9788126529988
380 pages
For more information write to us at: acadmktg@wiley.com
Description
This book makes sense of those increasingly confusing algorithms, and it creates a simple and safe environment to experiment with deep learning. It develops a sense of precisely what deep learning can do at a high level and then it provides examples of the major deep learning application types. The book includes simple example code, but there is also approachable text with real world examples, and even some hands on activities. The reader learns the topic in more than one way and from more than one perspective.
Introduction
About This Book
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Part 1: Discovering Deep Learning
Chapter 1: Introducing Deep Learning
- Defining What Deep Learning Means
- Starting from Artificial Intelligence
- Considering the role of AI
- Focusing on machine learning
- Moving from machine learning to deep learning
- Using Deep Learning in the Real World
- Understanding the concept of learning
- Performing deep learning tasks
- Employing deep learning in applications
- Considering the Deep Learning Programming Environment
- Overcoming Deep Learning Hype
- Discovering the start-up ecosystem
- Knowing when not to use deep learning
Chapter 2: Introducing the Machine Learning Principles
- Defining Machine Learning
- Understanding how machine learning works
- Understanding that it's pure math
- Learning by different strategies
- Training, validating