Book description
Take a deep dive into deep learning
Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it.
In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types.
- Includes sample code
- Provides real-world examples within the approachable text
- Offers hands-on activities to make learning easier
- Shows you how to use Deep Learning more effectively with the right tools
This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.
Table of contents
- Cover
- Introduction
- Part 1: Discovering Deep Learning
-
Part 2: Considering Deep Learning Basics
- Chapter 5: Reviewing Matrix Math and Optimization
- Chapter 6: Laying Linear Regression Foundations
- Chapter 7: Introducing Neural Networks
- Chapter 8: Building a Basic Neural Network
- Chapter 9: Moving to Deep Learning
- Chapter 10: Explaining Convolutional Neural Networks
- Chapter 11: Introducing Recurrent Neural Networks
- Part 3: Interacting with Deep Learning
-
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
-
Chapter 18: Ten Applications that Require Deep Learning
- Index
- About the Authors
- Advertisement Page
- Connect with Dummies
- End User License Agreement
Product information
- Title: Deep Learning For Dummies
- Author(s):
- Release date: May 2019
- Publisher(s): For Dummies
- ISBN: 9781119543046
You might also like
book
Machine Learning For Dummies
Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept …
audiobook
Deep Learning
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, …
book
Deep Learning
Ever since computers began beating us at chess, they've been getting better at a wide range …
video
Deep Learning
Push the envelope of data science by exploring emerging topics such as neural networks, deep learning, …