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Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Intelligent Autonomous Systems: Foundations and Applications
Intelligent Autonomous Systems: Foundations and Applications

Intelligent Autonomous Systems (IAS) are the physical embodiment of machine intelligence providing a core concept for integrating various advanced technologies with pattern recognition and learning. The basic philosophy of IAS research is to explore and understand the nature of intelligence in problems of perception, reasoning, learning and...

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Neural Systems for Control
Neural Systems for Control

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems...

Adaptive Control Systems
Adaptive Control Systems

Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are...

In Search of Dark Matter (Springer Praxis Books / Space Exploration)
In Search of Dark Matter (Springer Praxis Books / Space Exploration)

The dark matter problem is one of the most fundamental and profoundly difficult problems in the history of science. Not knowing what makes up most of the mass in the Universe goes to the heart of our understanding of the Universe and our place in it. In Search of Dark Matter is the story of the emergence of the dark matter problem, from the...

Wireless Mobility: The Why of Wireless (Networking Professional's Library)
Wireless Mobility: The Why of Wireless (Networking Professional's Library)

Comprehensive Answers to the "Why" of Wireless Mobility

In this unique guide, Cisco wireless expert Neil Reid incorporates best practices from some of the most complex and challenging wireless deployments in the industry and provides an insider's view of the "why" of wireless mobility. The book discusses...

Persons, Souls and Death: A Philosophical Investigation of an Afterlife
Persons, Souls and Death: A Philosophical Investigation of an Afterlife

Awareness of mortality is the price of intelligent consciousness. This book argues that a person is essentially an immaterial subject of conscious states who, though intimately linked by causal ties to the body, is nevertheless distinct from it. The book also examines apparently paranormal occurrences supporting the belief that some persons...

Artificial Intelligence: Foundations of Computational Agents
Artificial Intelligence: Foundations of Computational Agents

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent...

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) methods, mainly neural networks, genetic/evolutionary programming and reinforcement learning. The majority of discussed game playing ideas were...

Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)
Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)

A neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks. This authoritative reference offers a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical...

Mobile Intelligence (Wiley Series on Parallel and Distributed Computing)
Mobile Intelligence (Wiley Series on Parallel and Distributed Computing)

Nowadays, it is very common to see people everywhere and at anytime use mobile telecommunications devices, such as cellular/mobile phones, Personal Digital Assistants (PDAs), or laptop equipped with wireless connectivity to communicate with the network and access information. This phenomenon, which is generally known as mobile computing is...

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