Best Books Neural Network

15 Best Neural Network Books To Master Neural Network

Neural networks are a complicated term and a subject that a layman may not even understand. If we are to explain it in short, they are the neural networks in a computer that replicates the neural system of the brain to analyze data. The neural network is necessary for computing, storing, and analyzing data in all sectors of business.

Here is a quick look of top 15 best neural network books-

Best Book Best Book Neural Networks for Pattern Recognition
  • Rating:4.4
  • Author:Christopher M. Bishop
  • Format:Paperbook
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Highest Rated Highest Rated Neural Smithing
  • Rating:4.6
  • Author:Russell Reed & Robert J MarksII
  • Format:Paperback & Hardcover
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Recommended by Elon Musk Recommended by Elon Musk Deep Learning
  • Rating:4.2
  • Author:Ian, Yoshua, & Aaron
  • Format:Kindle & Hardcover
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Text-to-Speech Text-to-Speech Neural Networks and Deep Learning
  • Rating:4.3
  • Author: Charu C. Aggarwal
  • Format:eBook, Paperbook, Hardcover
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With Python With Python Deep Learning with Python
  • Rating:4.5
  • Author:François Chollet
  • Format:Audio & Paperback
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Highest Rated Highest Rated Hands-On Machine Learning with Keras
  • Rating:4.8
  • Author:Aurélien Géron
  • Format:Kindle & Paperback
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With AI With AI ensorFlow 1.x Deep Learning Cookbook
  • Rating:3.6
  • Author:Antonio Gulli & Amita Kapoor
  • Format:Kindle & Paperback
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Practitioner’s Approach Practitioner’s Approach Deep Learning: A Practitioner’s Approach
  • Rating:4.3
  • Author:Josh Patterson & Adam Gibson
  • Format:Kindle & Paperback
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With Python With Python Deep Learning for Computer Vision
  • Rating:3.2
  • Author:Rajalingappaa Shanmugamani
  • Format:Kindle & Paperback
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With Smart Networks With Smart Networks Quantum Computing
  • Rating:New
  • Author:Melanie, Frank, & Renato
  • Format:Kindle & Hardcover
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With Python With Python Deep Neuro-Fuzzy Systems
  • Rating:3.0
  • Author:imanshu Singh & Yunis Ahmad Lone
  • Format:Kindle & Paperback
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Cheapest Cheapest IA is a life style
  • Rating:3.0
  • Author:Motivz ML & Motivz arts
  • Format:Paperback
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Detailed Book Detailed Book Computational Vision and Bio-Inspired Computing
  • Rating:New
  • Author:S. Smys, João, Valentina, & Abdullah
  • Format:Kindle & Paperback
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With Object Detection With Object Detection Advanced Applied Deep Learning
  • Rating:New
  • Author:Umberto Michelucci
  • Format:Kindle & Paperback
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The students, who are learning neural networks, often find it difficult to understand and relate to. Hence, some reference neural network books are necessary.

15 Best Neural Network Books

Here I have listed 15 books that will help you best understand the neural network. The books have theoretical as well as a practical aspect to it. The books will help you understand the practical application with examples as well.

The neural network books that I will list will also include in-depth pros and cons so that you can nitpick a book that best suits your needs. Read on, and you will get the best neural network book for you.

#1 Neural networks for pattern recognition [check details & pricing]

  • Book Name: Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))
  • Page: 502
  • Publisher: Oxford University Press
  • Author: Christopher M. Bishop

The neural network book is a handbook and classic that depicts the theory and application of 25 years ago, i.e. when the concept was developed. The book is an excellent choice to build a base but it won’t be recommended to consider as a holy grail, rather, consider it as a reference book. The book is mostly available as a PDF. Here are a couple of features of the book-

  • Solid statistical foundation for neural networks
  • Focus is on the types of neural nets

#2 Neural Smithing [check details & pricing]

  • Book Name: Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
  • Page: 360
  • Publisher: Bradford Book
  • Author: Russell Reed & Robert J MarksII

The book is the best buy if you want to find practical applications of the algorithms. The code and plots of the book are its highlights. The book uses maths, descriptions, snippets of pseudo code, and ANSI C to explain the concepts. It is of utmost use when you will do back propagation of error or an activation function. The one drawback of the book is that it is very detailed about the methods and over focuses on it. This is an ideal neural network book for beginners.

#3 Deep learning [check details & pricing]

  • Book Name: Deep Learning (Adaptive Computation and Machine Learning series)
  • Page: 800
  • Publisher: MIT Press
  • Author: Ian, Yoshua, & Aaron

This book forms a bridge between the modern and classic concepts of deep learning. The milestones and highlights of neural networks have been discussed throughout the book. The different methods of neural networks are described in this neural network book. The book doesn’t have any other concept apart from the methods, and hence, is not an overall glance of the subject.

#4 Neural Network and Deep Learning [check details & pricing]

  • Book Name: Neural Networks and Deep Learning: A Textbook
  • Page: 497
  • Publisher: Springer
  • Author: Charu C. Aggarwal

This is a theory based neural network book. The book includes coding and seven python scripts that discuss fundamental machine learning, neural network, or deep learning techniques on the MNIST dataset. The book has not only the real-life implications of the neural networks but also the theoretical explanations.

This makes it the perfect neural network book for beginners. This book will be your holy grail if you wish to learn the basics of the machine and deep learning. The book, however, doesn’t contain many advanced and detailed snippets so if you wish to buy a book for the specialization of a topic, then this is not a recommended choice.

#5 Deep learning with python [check details & pricing]

  • Book Name: Deep Learning with Python
  • Page: 384
  • Publisher: Manning Publications
  • Author: François Chollet

This book will take a practical approach to the theory. For every concept, Keras’ implementation of the technique is mentioned; although there are few sections for theory and practical application. The neural network book pdf will consist of a plethora of examples for deep learning with context to computer vision, text, and sequences.

The book also has a history of deep learning and the author’s insight into the same. The book is not detailed enough to explain all the subsections but will give a glance through the fundamentals of deep learning with adequate examples.

#6 Hands-on machine learning with Keras [check details & pricing]

  • Book Name: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Page: 856
  • Publisher: O’Reilly
  • Author: Aurélien Géron

This neural network book pdf is divided and organized into two parts. The first will cover the algorithms related to basic machine learning such as Support Vector Machines (SVMs), Decision, Trees, Random Forests, ensemble methods, and other fundamental unsupervised learning algorithms.

The examples for the Scikit-learn are included in the book as well. The second part will cover the theoretical aspects of deep learning via the TensorFlow library. The book is a major and epic read as a neural network book.

#7 TensorFlow Deep Learning Cookbook [check details & pricing]

  • Book Name: TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python
  • Page: 856
  • Publisher: Packt
  • Author: Antonio Gulli & Amita Kapoor

This book comes into the category of neural network and fuzzy logic books because it has zero to no theory and only coding. For TensorFlow users, this is the best neural network book. It will teach you how to use TensorFlow concerning deep learning.

You will of course learn theory, algorithms, etc. about deep learning as well but its focus is solely on coding. The only criticism in this book is that there are some typos in coding, it’s an inconvenience but be aware of it while studying from it.

#8 Deep learning: a practitioner’s approach [check details & pricing]

  • Book Name: Deep Learning: A Practitioner’s Approach
  • Page: 532
  • Publisher: O’Reilly Media
  • Author: Josh Patterson & Adam Gibson

This is one of the best neural network books as it takes a unique approach to teaching code as it uses java and DL4J libraries for the same as the conventional python. This is because java is used mostly at corporate levels. The book progresses in a way that it starts with the fundamental teachings of the machine and deep learning, and later, it will progress as java coding.

#9 Deep learning for computer vision [Check details & pricing]

  • Book Name: Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
  • Page: 312
  • Publisher: Packt
  • Author: Rajalingappaa Shanmugamani

This is one of the best neural network books and it will aid you in machine learning and resources to gather computer vision. The book is solely focused on computer visions of the current times and advanced methodologies.

#10 Deep Learning in Computer Vision [check details & pricing]

  • Book Name: Deep Learning in Computer Vision: Principles and Applications (Digital Imaging and Computer Vision)
  • Page: 338
  • Publisher: CRC Press
  • Author: Mahmoud Hassaballah & Ali Ismail Awad

This is one of the best and free neural network books that have introduced a non-traditional way for solving image-related problems. These problems had been unaddressed before. Hence, this book has been a revelation. You can trust that it’s a good book and will help you immensely.

#11 Quantum Computing [check details & pricing]

  • Book Name: Quantum Computing: Physics, Blockchains, and Deep Learning Smart Networks
  • Page: 338
  • Publisher: CRC Press
  • Author: Melanie Swan, Frank Witte, Renato P Dos Santos

Quantum physics is ever-changing and to keep up with the latest trend, you can try this free neural network book. It goes beyond normal measures to cover the changes and new researches conducted in the field. The methods used for the understanding of the data and statistical data are also included in this neural network book.

#12 Deep neuro-fuzzy systems [check details & pricing]

  • Book Name: Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
  • Page: 275
  • Publisher: Apress
  • Author: Himanshu Singh & Yunis Ahmad Lone

If you wish to get an insight into the fuzzy and logical side of the neural network books, then you can try this best neural network book eBook. This contains the amalgamation and difference between the two systems of the models. Fuzzy logic and networking are easily explained in this book. These concepts are explained concerning the use of python to explain this.

#13 IA is a lifestyle [check details & pricing]

  • Book Name: IA is a life style: Neural Network, Deep Learning, Machine Learning journal, notebook
  • Page: 110
  • Publisher: Independently published
  • Author: Motivz ML & Motivz arts

The book involves chapters that explain how the neural network and IA are the future. This maps the origin of the concept and explains them well theoretically. Some drawbacks of the books are that it cannot be used as a primary source of the education material. The book can be used as a reference and extra knowledge of the origin of the neural networks. This is one of the finest neural network books eBooks.

#14 Computational vision and bio-inspired computing [Check details & pricing]

  • Book Name: Computational Vision and Bio-Inspired Computing: ICCVBIC 2019 (Advances in Intelligent Systems and Computing (1108))
  • Page: 1438
  • Publisher: Springer
  • Author: S. Smys, João, Valentina, & Abdullah

The book introduces the innovative and advanced research in biocomputing. The computational vision helps us to understand various fields and study. It is practical and theoretical. The neural network book will involve chapters about recent and future applications and the scope of biocomputing.

#15 Advanced Applied Deep Learning [Check details & pricing]

  • Book Name: Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection
  • Page: 303
  • Publisher: Apress
  • Author: Umberto Michelucci

The deep learning concepts are taught concerning architectural designs. The intricate details and subtleties of the algorithms are explained in the chapters of this neural network book with ample examples and definitions. Advanced topics such as CNN are also taught in this book.

Conclusion- Which is the best Neural Network Book?

This was the 15 best neural network books which you can follow to learn deep learning and neural network. if you want to learn deep learning and neural network then these books can be a great point to start with.

Here we have reviewed many other books as well. Please have a look here-



Follow these best books to learn neural networks from scratch and master deep learning and artificial neural network.

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