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Hands-On Neural Networks
Hands-On Neural Networks

Hands-On Neural Networks: Learn how to build and train your first neural network model using Python

By Leonardo De Marchi , Laura Mitchell
$26.99 $9.99
Book May 2019 280 pages 1st Edition
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eBook
$26.99 $9.99
Print
$38.99
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$15.99 Monthly

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Hands-On Neural Networks

Section 1: Getting Started

This section introduces the main deep learning concepts and instructions to set up a development environment.

The following chapters are included in this section:

  • Chapter 1, Getting Started with Supervised Learning
  • Chapter 2, Neural Network Fundamentals
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Key benefits

  • Explore neural network architecture and understand how it functions
  • Learn algorithms to solve common problems using backpropagation and perceptrons
  • Understand how to apply neural networks to applications with the help of useful illustrations

Description

Neural networks play a very important role in deep learning and artificial intelligence (AI), with applications in a wide variety of domains, right from medical diagnosis, to financial forecasting, and even machine diagnostics. Hands-On Neural Networks is designed to guide you through learning about neural networks in a practical way. The book will get you started by giving you a brief introduction to perceptron networks. You will then gain insights into machine learning and also understand what the future of AI could look like. Next, you will study how embeddings can be used to process textual data and the role of long short-term memory networks (LSTMs) in helping you solve common natural language processing (NLP) problems. The later chapters will demonstrate how you can implement advanced concepts including transfer learning, generative adversarial networks (GANs), autoencoders, and reinforcement learning. Finally, you can look forward to further content on the latest advancements in the field of neural networks. By the end of this book, you will have the skills you need to build, train, and optimize your own neural network model that can be used to provide predictable solutions.

What you will learn

Learn how to train a network by using backpropagation Discover how to load and transform images for use in neural networks Study how neural networks can be applied to a varied set of applications Solve common challenges faced in neural network development Understand transfer learning concepts to solve tasks using Keras and Visual Geometry Group (VGG) network Get up to speed with advanced and complex deep learning concepts such as LSTMs and natural language processing (NLP) Explore innovative algorithms including GANs and deep reinforcement learning

Product Details

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Publication date : May 30, 2019
Length 280 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781788992596
Vendor :
Google
Category :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : May 30, 2019
Length 280 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781788992596
Vendor :
Google
Category :

Table of Contents

16 Chapters
Preface Chevron down icon Chevron up icon
1. Section 1: Getting Started Chevron down icon Chevron up icon
2. Getting Started with Supervised Learning Chevron down icon Chevron up icon
3. Neural Network Fundamentals Chevron down icon Chevron up icon
4. Section 2: Deep Learning Applications Chevron down icon Chevron up icon
5. Convolutional Neural Networks for Image Processing Chevron down icon Chevron up icon
6. Exploiting Text Embedding Chevron down icon Chevron up icon
7. Working with RNNs Chevron down icon Chevron up icon
8. Reusing Neural Networks with Transfer Learning Chevron down icon Chevron up icon
9. Section 3: Advanced Applications Chevron down icon Chevron up icon
10. Working with Generative Algorithms Chevron down icon Chevron up icon
11. Implementing Autoencoders Chevron down icon Chevron up icon
12. Deep Belief Networks Chevron down icon Chevron up icon
13. Reinforcement Learning Chevron down icon Chevron up icon
14. Whats Next? Chevron down icon Chevron up icon
15. Other Books You May Enjoy Chevron down icon Chevron up icon

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