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Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Key Features

  • Focuses on more efficient natural language processing using TensorFlow
  • Covers NLP as a field in its own right to improve understanding for choosing TensorFlow...
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...
Our War Paint Is Writers' Ink: Anishinaabe Literary Transnationalism (SUNY series, Native Traces)
Our War Paint Is Writers' Ink: Anishinaabe Literary Transnationalism (SUNY series, Native Traces)
The first word of Anishinaabemowin my father ever taught me was “miigwech”—“thank you”—because it is the most important. I have had many opportunities to use the word over the course of writ ing this book, but I would be remiss if I didn’t take the time to say it once...
The Pillars of Computation Theory: State, Encoding, Nondeterminism (Universitext)
The Pillars of Computation Theory: State, Encoding, Nondeterminism (Universitext)

The abstract branch of theoretical computer science known as Computation Theory typically appears in undergraduate academic curricula in a form that obscures both the mathematical concepts that are central to the various components of the theory and the relevance of the theory to the typical student. This regrettable situation is due largely...

The Mathematics of Signal Processing (Cambridge Texts in Applied Mathematics)
The Mathematics of Signal Processing (Cambridge Texts in Applied Mathematics)

Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of...

Computer Graphics Through OpenGL®: From Theory to Experiments
Computer Graphics Through OpenGL®: From Theory to Experiments

COMPREHENSIVE COVERAGE OF SHADERS AND THE PROGRAMMABLE PIPELINE

From geometric primitives to animation to 3D modeling to lighting, shading and texturing, Computer Graphics Through OpenGL®: From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active...

The Higher Arithmetic: An Introduction to the Theory of Numbers
The Higher Arithmetic: An Introduction to the Theory of Numbers
'Although this book is not written as a textbook but rather as a work for the general reader, it could certainly be used as a textbook for an undergraduate course in number theory and, in the reviewer's opinion, is far superior for this purpose to any other book in English.' From a review of the first edition in Bulletin of the American...
Fractional Dynamics: Recent Advances
Fractional Dynamics: Recent Advances

This volume provides the latest developments in the field of fractional dynamics, which covers fractional (anomalous) transport phenomena, fractional statistical mechanics, fractional quantum mechanics and fractional quantum field theory. The contributors are selected based on their active and important contributions to their respective...

MATLAB Control Systems Engineering
MATLAB Control Systems Engineering

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Remote Sensing: The Image Chain Approach
Remote Sensing: The Image Chain Approach
Remote Sensing deals with the fundamental ideas underlying the rapidly growing field of remote sensing. John Schott explores energy-matter interaction, radiation propagation, data dissemination, and described the tools and procedures required to extract information from remotely sensed data using the image chain approach. Organizations and...
Collaborative Geographic Information Systems
Collaborative Geographic Information Systems
Many advances in the integration of group spatial modeling, geographic information systems (GIS), and the Internet have occurred in recent years; however, there is a lack of materials to highlight the transdisciplinary characteristics and impacts of this convergence while providing a uniform and consistent treatment of this expanding field of...
Introduction to Random Signals and Noise
Introduction to Random Signals and Noise

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal.

With a strong mathematical grounding, this text...

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