Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Hands-On Neural Networks with Keras

You're reading from  Hands-On Neural Networks with Keras

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789536089
Pages 462 pages
Edition 1st Edition
Languages
Author (1):
Niloy Purkait Niloy Purkait
Profile icon Niloy Purkait

Table of Contents (16) Chapters

Preface Section 1: Fundamentals of Neural Networks
Overview of Neural Networks A Deeper Dive into Neural Networks Signal Processing - Data Analysis with Neural Networks Section 2: Advanced Neural Network Architectures
Convolutional Neural Networks Recurrent Neural Networks Long Short-Term Memory Networks Reinforcement Learning with Deep Q-Networks Section 3: Hybrid Model Architecture
Autoencoders Generative Networks Section 4: Road Ahead
Contemplating Present and Future Developments Other Books You May Enjoy

The fundamentals of neural learning

We begin our journey with an attempt to gain a fundamental understanding of the concept of learning. Moreover, what we are really interested in is how such a rich and complex phenomenon as learning has been implemented on what many call the most advanced computer known to humankind. As we will observe, scientists seem to continuously find inspiration from the inner workings of our own biological neural networks. If nature has indeed figured out a way to leverage loosely connected signals from the outside world and patch them together as a continuous flow of responsive and adaptive awareness (something most humans will concur with), we would indeed like to know exactly what tricks and treats it may have used to do so. Yet, before we can move on to such topics, we must establish a baseline to understand why the notion of neural networks are far...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}