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Hands-on neural networks with TensorFlow 2.0 : understand TensorFlow, from static graph to eager execution, and design neural networks

Interpretable Machine Learning with Python : Learn to build interpretable high-performance models with hands-on real-world examples

Neural Networks : A Practical Guide For Understanding And Programming Neural Networks And Useful Insights For Inspiring Reinvention

Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

Complex-Valued Neural Networks with Multi-Valued Neurons

Intuitionistic fuzzy preference modeling and interactive decision making

Toward deep neural networks : WASD neuronet models, algorithms, and applications

Information and Knowledge Engineering

Artificial neural networks with Java : tools for building neural network applications

Pytorch recipes : a problem-solution approach to build, train and deploy neural network models

Artificial Intelligence : An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future

Artificial Higher Order Neural Networks for Computer Science and Engineering : Trends for Emerging Applications

A Comprehensive Guide to Neural Network Modeling

Fuzzy Control Systems : Design, Analysis & Performance Evaluation

Artificial Neural Networks : New Research

Local Area Networks in Information Management

Introduction to Computational Neuroscience

A statistical approach to neural networks for pattern recognition

Static and dynamic neural networks : from fundamentals to advanced theory

PyTorch 1.x reinforcement learning cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python

Neural Networks for Optimization and Signal Processing

Neural networks and their applications

Learning DevOps : The complete guide to accelerate collaboration with Jenkins, Kubernetes, Terraform and Azure DevOps

The machine learning workshop : get ready to develop your own high-performance machine learning algorithms with scikit-learn

Human memory modeled with standard analog and digital circuits : inspiration for man-made computers

Fuzzy And Neural Approaches in Engineering

What's new in TensorFlow 2.0 : use the new and improved features of TensorFlow to enhance machine learning and deep learning

Hands-On Music Generation with Magenta : Explore the role of deep learning in music generation and assisted music composition

Hands-On Neuroevolution with Python : Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Hands-On One-shot Learning with Python : Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

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