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Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...
Natural Computing: 4th International Workshop on Natural Computing
Natural Computing: 4th International Workshop on Natural Computing

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)
Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

Solaris 8: The Complete Reference
Solaris 8: The Complete Reference
Clients often ask why we choose Solaris as an operating environment. Is it a decision based on price? Is it an attraction to the latest gizmo features, each with its own four-letter acronym? Do we have a cozy arrangement with Sun Microsystems to promote their operating system? The answer to each of these questions is no, no, NO!  ...
Level Sets and Extrema of Random Processes and Fields
Level Sets and Extrema of Random Processes and Fields
Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems that arise in the study of random processes and fields and in related applications. This book...
The Mathematical Foundation of Informatics
The Mathematical Foundation of Informatics
The first international conference organized in Vietnam, which concerns theoretical computer science, was the ICOMIDC Symposium on Mathematics of Computation, held in Ho Chi Minh City in 1988. For the last years great developments have been made in this areas. Therefore, it had become necessary to organize in Vietnam another international...
Computability and Complexity Theory (Texts in Computer Science)
Computability and Complexity Theory (Texts in Computer Science)

This revised and extensively expanded edition of Computability and Complexity Theory comprises essential materials that are core knowledge in the theory of computation. The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations.  Subsequent chapters move from the qualitative aspects of...

Parallel Algorithm Derivation and Program Transformation
Parallel Algorithm Derivation and Program Transformation
Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success. Perhaps because ad hoc programming on sequential machines is so straightforward, sequential programming methodology has had little impact outside the academic community, and transformational methodology has had little...
Linear Systems (Control Systems, Robotics and Manufacturing)
Linear Systems (Control Systems, Robotics and Manufacturing)

Linear systems have all the necessary elements (modeling, identification, analysis and control), from an educational point of view, to help us understand the discipline of automation and apply it efficiently. This book is progressive and organized in such a way that different levels of readership are possible. It is addressed both to...

Making Sense of Data: Designing Effective Visualizations
Making Sense of Data: Designing Effective Visualizations

You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you’re stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden?

If you’re a data scientist who struggles to navigate the murky space...

In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation
In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation

What is the shortest possible route for a traveling salesman seeking to visit each city on a list exactly once and return to his city of origin? It sounds simple enough, yet the traveling salesman problem is one of the most intensely studied puzzles in applied mathematics--and it has defied solution to this day. In this book, William Cook...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
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