Deep Learning For Dummies 1st editon by John Paul Mueller, Luca Massaron 1119543037 9781119543039

Part 1: Discovering Deep Learning

Chapter 1: Introducing Deep Learning

Defining What Deep Learning Means

Using Deep Learning in the Real World

Considering the Deep Learning Programming Environment

Overcoming Deep Learning Hype

Chapter 2: Introducing the Machine Learning Principles

Defining Machine Learning

Considering the Many Different Roads to Learning

Pondering the True Uses of Machine Learning

Chapter 3: Getting and Using Python

Working with Python in this Book

Obtaining Your Copy of Anaconda

Downloading the Datasets and Example Code

Creating the Application

Understanding the Use of Indentation

Adding Comments

Getting Help with the Python Language

Working in the Cloud

Chapter 4: Leveraging a Deep Learning Framework

Presenting Frameworks

Working with Low-End Frameworks

Understanding TensorFlow

Part 2: Considering Deep Learning Basics

Chapter 5: Reviewing Matrix Math and Optimization

Revealing the Math You Really Need

Understanding Scalar, Vector, and Matrix Operations

Interpreting Learning as Optimization

Chapter 6: Laying Linear Regression Foundations

Combining Variables

Mixing Variable Types

Switching to Probabilities

Guessing the Right Features

Learning One Example at a Time

Chapter 7: Introducing Neural Networks

Discovering the Incredible Perceptron

Hitting Complexity with Neural Networks

Struggling with Overfitting

Chapter 8: Building a Basic Neural Network

Understanding Neural Networks

Looking Under the Hood of Neural Networks

Chapter 9: Moving to Deep Learning

Seeing Data Everywhere

Discovering the Benefits of Additional Data

Improving Processing Speed

Explaining Deep Learning Differences from Other Forms of AI

Finding Even Smarter Solutions

Chapter 10: Explaining Convolutional Neural Networks

Beginning the CNN Tour with Character Recognition

Explaining How Convolutions Work

Detecting Edges and Shapes from Images

Chapter 11: Introducing Recurrent Neural Networks

Introducing Recurrent Networks

Explaining Long Short-Term Memory

Part 3: Interacting with Deep Learning

Chapter 12: Performing Image Classification

Using Image Classification Challenges

Distinguishing Traffic Signs

Chapter 13: Learning Advanced CNNs

Distinguishing Classification Tasks

Perceiving Objects in Their Surroundings

Overcoming Adversarial Attacks on Deep Learning Applications

Chapter 14: Working on Language Processing

Processing Language

Memorizing Sequences that Matter

Using AI for Sentiment Analysis

Chapter 15: Generating Music and Visual Art

Learning to Imitate Art and Life

Mimicking an Artist

Chapter 16: Building Generative Adversarial Networks

Making Networks Compete

Considering a Growing Field

Chapter 17: Playing with Deep Reinforcement Learning

Playing a Game with Neural Networks

Explaining Alpha-Go

Part 4: The Part of Tens

Chapter 18: Ten Applications that Require Deep Learning

Restoring Color to Black-and-White Videos and Pictures

Approximating Person Poses in Real Time

Performing Real-Time Behavior Analysis

Translating Languages

Estimating Solar Savings Potential

Beating People at Computer Games

Generating Voices

Predicting Demographics

Creating Art from Real-World Pictures

Forecasting Natural Catastrophes

Chapter 19: Ten Must-Have Deep Learning Tools

Compiling Math Expressions Using Theano

Augmenting TensorFlow Using Keras

Dynamically Computing Graphs with Chainer

Creating a MATLAB-Like Environment with Torch

Performing Tasks Dynamically with PyTorch

Accelerating Deep Learning Research Using CUDA

Supporting Business Needs with Deeplearning4j

Mining Data Using Neural Designer

Training Algorithms Using Microsoft Cognitive Toolkit (CNTK)

Exploiting Full GPU Capability Using MXNet

Chapter 20: Ten Types of Occupations that Use Deep Learning

Managing People

Improving Medicine

Developing New Devices

Providing Customer Support

Seeing Data in New Ways

Performing Analysis Faster

Creating a Better Work Environment

Researching Obscure or Detailed Information

Designing Buildings

Enhancing Safety

Index

About the Authors

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