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• Cover
• 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
• 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
• Advertisement Page
• Connect with Dummies
• End User License Agreement