Design and create neural networks with deep learning and artificial
intelligence principles using OpenAI Gym, TensorFlow, and Keras Key
Features Explore neural network architecture and understand how it
functions Learn algorithms to solve common problems using back
propagation and perceptrons Understand how to apply neural networks to
applications with the help of useful illustrations Book 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 the transfer
learning concept to solve tasks using Keras and Visual Geometry Group
(VGG) network Get up to speed with advanced and complex deep learning
concepts like LSTMs and NLP Explore innovative algorithms like GANs
and deep reinforcement learning Who this book is for If you are
interested in artificial intelligence and deep learning and want to
further your skills, then this intermediate-level book is for you.
Some knowledge of statistics will help you get the most out of this
book.
Les mer
Produktdetaljer
ISBN
9781788999885
Publisert
2019
Utgave
1. utgave
Utgiver
Vendor
Packt Publishing
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter