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-

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

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]

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-

#2 Neural Smithing [check details & pricing]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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-

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