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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...
Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds
Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds

Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS.

Begin by...

Hands-On Microservices with Rust: Build, test, and deploy scalable and reactive microservices with Rust 2018
Hands-On Microservices with Rust: Build, test, and deploy scalable and reactive microservices with Rust 2018

A comprehensive guide in developing and deploying high performance microservices with Rust

Key Features

  • Start your microservices journey and get a broader perspective on microservices development using RUST 2018,
  • Build, deploy, and test microservices using AWS
  • ...
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You’ll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several...
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract...
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...
The Calculus of Computation: Decision Procedures with Applications to Verification
The Calculus of Computation: Decision Procedures with Applications to Verification
Computational logic is a fast-growing field with applications in artificial intelligence, constraint solving, and the design and verification of software and hardware systems. Written with graduate and advanced undergraduate students in mind, this textbook introduces computational logic from the foundations of first-order logic to state-of-the-art...
Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's...
Introduction to Octave: For Engineers and Scientists
Introduction to Octave: For Engineers and Scientists
Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Octave, which can run MATLAB files without modification. Introduction to Octave is useful...
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems (Advances in Intelligent Systems and Computing)
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems (Advances in Intelligent Systems and Computing)

Prediction of behavior of the dynamical systems, analysis and modeling of its structure is vitally important problem in engineering, economy and science today.

Examples of such systems can be seen in the world around us and of course in almost every scientific discipline including such “exotic” domains like the...

Quantum Walks and Search Algorithms (Quantum Science and Technology)
Quantum Walks and Search Algorithms (Quantum Science and Technology)

This book addresses an interesting area of quantum computation called quantum walks, which play an important role in building quantum algorithms, in particular search algorithms. Quantum walks are the quantum analogue of classical random walks.

It is known that quantum computers have great power for searching unsorted databases....

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