Neural Networks category: 100 books
by Balaji Venkateswaran, Giuseppe Ciaburro
Language: English
Release Date: September 27, 2017
Language: English
Release Date: September 27, 2017
Uncover the power of artificial neural networks by implementing them through R code.
About This Book
Develop a strong background in neural networks with R, to implement them in your applications
Build smart systems using the power of deep learning
Real-world case studies to illustrate the...
by Fabio. M. Soares, Rodrigo Nunes
Language: English
Release Date: January 9, 2020
Language: English
Release Date: January 9, 2020
Build smarter programs with the power of neural networks and the simplicity of Python
About This Book
Make your roots stronger in neural networks by this concept-rich yet highly practical guide; from single layer to multiple layers with the help of Python
Through this book, you will develop a...
by Alan M.F. Souza, Fabio M. Soares
Language: English
Release Date: January 15, 2016
Language: English
Release Date: January 15, 2016
Create and unleash the power of neural networks by implementing professional Java code
About This Book
Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition
Explore the Java multi-platform feature to run your personal neural networks everywhere
This...
Principles of Artificial Neural Networks
Basic Designs to Deep Learning
Language: English
Release Date: March 15, 2019
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.
This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates...
Hands-On Neural Network Programming with C#
Add powerful neural network capabilities to your C# enterprise applications
Language: English
Release Date: September 29, 2018
Create and unleash the power of neural networks by implementing C# and .Net code
Key Features
Get a strong foundation of neural networks with access to various machine learning and deep learning libraries
Real-world case studies illustrating various neural network techniques and architectures...
Neural Networks with Keras Cookbook
Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
Language: English
Release Date: February 28, 2019
Implement neural network architectures by building them from scratch for multiple real-world applications.
Key Features
From scratch, build multiple neural network architectures such as CNN, RNN, LSTM in Keras
Discover tips and tricks for designing a robust neural network to solve real-world...
by Antonio Gulli, Amita Kapoor
Language: English
Release Date: December 12, 2017
Language: English
Release Date: December 12, 2017
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x
About This Book
Skill up and implement tricky neural networks using Google's TensorFlow 1.x
An easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer...
by Daniel Graupe
Language: English
Release Date: July 31, 2013
Language: English
Release Date: July 31, 2013
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.
This volume covers the basic theory and architecture...
Complex-Valued Neural Networks
Advances and Applications
Language: English
Release Date: May 8, 2013
Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications
Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing,...
Deep Learning Neural Networks
Design and Case Studies
Language: English
Release Date: July 7, 2016
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field...
by Antonio Gulli, Sujit Pal
Language: English
Release Date: April 26, 2017
Language: English
Release Date: April 26, 2017
Get to grips with the basics of Keras to implement fast and efficient deep-learning models
About This Book
Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games
See how various deep-learning models and practical use-cases can be implemented using Keras
A...
Deep Learning with R for Beginners
Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
Language: English
Release Date: May 20, 2019
Explore the world of neural networks by building powerful deep learning models using the R ecosystem
Key Features
Get to grips with the fundamentals of deep learning and neural networks
Use R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processing
Implement...
Wavelet Neural Networks
With Applications in Financial Engineering, Chaos, and Classification
Language: English
Release Date: April 24, 2014
A step-by-step introduction to modeling, training, and forecasting using wavelet networks
Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successfully apply wavelet networks...
by Omid Omidvar, Patrick van der Smagt
Language: English
Release Date: December 2, 2012
Language: English
Release Date: December 2, 2012
Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics...