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Elements Of Computing Systems The Building A Modern Computer From First Principles


Elements Of Computing Systems The Building A Modern Computer From First Principles
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The Elements Of Computing Systems


The Elements Of Computing Systems
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Author : Noam Nisan
language : en
Publisher: MIT Press
Release Date : 2005

The Elements Of Computing Systems written by Noam Nisan and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.



Elements Of Computing Systems The Building A Modern Computer From First Principles


Elements Of Computing Systems The Building A Modern Computer From First Principles
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Author : Nisan & Schocken
language : en
Publisher:
Release Date : 2004

Elements Of Computing Systems The Building A Modern Computer From First Principles written by Nisan & Schocken and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.




The Elements Of Computing Systems Second Edition


The Elements Of Computing Systems Second Edition
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Author : Noam Nisan
language : en
Publisher: MIT Press
Release Date : 2021-06-15

The Elements Of Computing Systems Second Edition written by Noam Nisan and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.


A new and extensively revised edition of a popular textbook used in universities, coding boot camps, hacker clubs, and online courses. The best way to understand how computers work is to build one from scratch, and this textbook leads learners through twelve chapters and projects that gradually build the hardware platform and software hierarchy for a simple but powerful computer system. In the process, learners gain hands-on knowledge of hardware, architecture, operating systems, programming languages, compilers, software engineering, and relevant algorithms and data structures. Using this constructive approach, the book introduces readers to a significant body of computer science knowledge and synthesizes key theoretical and applied techniques into one constructive framework.The outcome is known as Nand to Tetris: a journey that starts with the most elementary logic gate, called Nand, and ends, twelve projects later, with a general-purpose computer system capable of running Tetris and any other program that comes to your mind. The first edition of this popular textbook inspired Nand to Tetris courses in many universities, coding boot camps, hacker clubs, and online course platforms. This second edition has been extensively revised. It has been restructured into two distinct parts—part I, Hardware, and part II, Software—with six projects in each part. All chapters and projects have been rewritten, with an emphasis on separating abstraction from implementation, and many new sections, figures, and examples have been added. Substantial new appendixes offer focused presentation on technical and theoretical topics.



The Elements Of Computing Systems


The Elements Of Computing Systems
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Author : Noam Nisan
language : en
Publisher:
Release Date : 2008

The Elements Of Computing Systems written by Noam Nisan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.


This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.



Simulated Evolution And Learning


Simulated Evolution And Learning
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Author : Grant Dick
language : en
Publisher: Springer
Release Date : 2014-11-11

Simulated Evolution And Learning written by Grant Dick and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Computers categories.


This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.



Deep Learning From The Basics


Deep Learning From The Basics
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Author : Koki Saitoh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-08

Deep Learning From The Basics written by Koki Saitoh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-08 with Computers categories.


Discover ways to implement various deep learning algorithms by leveraging Python and other technologies Key FeaturesLearn deep learning models through several activitiesBegin with simple machine learning problems, and finish by building a complex system of your ownTeach your machines to see by mastering the technologies required for image recognitionBook Description Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays. By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning. What you will learnUse Python with minimum external sources to implement deep learning programsStudy the various deep learning and neural network theoriesLearn how to determine learning coefficients and the initial values of weightsImplement trends such as Batch Normalization, Dropout, and AdamExplore applications like automatic driving, image generation, and reinforcement learningWho this book is for Deep Learning from the Basics is designed for data scientists, data analysts, and developers who want to use deep learning techniques to develop efficient solutions. This book is ideal for those who want a deeper understanding as well as an overview of the technologies. Some working knowledge of Python is a must. Knowledge of NumPy and pandas will be beneficial, but not essential.



Logic Gates Circuits Processors Compilers And Computers


Logic Gates Circuits Processors Compilers And Computers
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Author : Jan Friso Groote
language : en
Publisher: Springer Nature
Release Date : 2021-08-18

Logic Gates Circuits Processors Compilers And Computers written by Jan Friso Groote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Computers categories.


This undergraduate textbook first introduces basic electronic circuitry before explaining more advanced elements such as the Arithmetic Logic Unit, sequential circuits, and finally microprocessors. In keeping with this integrated and graduated approach, the authors then explain the relationship to first assembly programming, then higher-level languages, and finally computer organisation. Authors use the Raspberry Pi and ARM microprocessors for their explanations The material has been extensively class tested at TU Eindhoven by an experienced team of lecturers and researchers. This is a modern, holistic treatment of well-established topics, valuable for undergraduate students of computer science and electronics engineering and for self-study. The authors use the Raspberry Pi and ARM microprocessors for their explanations.



Neural Network For Beginners


Neural Network For Beginners
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Author : Sebastian Klaas
language : en
Publisher: BPB Publications
Release Date : 2021-08-24

Neural Network For Beginners written by Sebastian Klaas and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Computers categories.


KEY FEATURES ● Understand applications like reinforcement learning, automatic driving and image generation. ● Understand neural networks accompanied with figures and charts. ● Learn about determining coefficients and initial values of weights. DESCRIPTION Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns. This book starts with a quick view of deep learning in Python which would include definition, features and applications. You would be learning about perceptron, neural networks, Backpropagation. This book would also give you a clear insight of how to use Numpy and Matplotlin in deep learning models. By the end of the book, you’ll have the knowledge to apply the relevant technologies in deep learning. WHAT YOU WILL LEARN ● To develop deep learning applications, use Python with few outside inputs. ● Study several ideas of profound learning and neural networks ● Learn how to determine coefficients of learning and weight values ● Explore applications such as automation, image generation and reinforcement learning ● Implement trends like batch Normalisation, dropout, and Adam WHO THIS BOOK IS FOR Deep Learning from the Basics is for data scientists, data analysts and developers who wish to build efficient solutions by applying deep learning techniques. Individuals who would want a better grasp of technology and an overview. You should have a workable Python knowledge is a required. NumPy knowledge and pandas will be an advantage, but that’s completely optional. TABLE OF CONTENTS 1. Python Introduction 2. Perceptron in Depth 3. Neural Networks 4. Training Neural Network 5. Backpropagation 6. Neural Network Training Techniques 7. CNN 8. Deep Learning



Active Materials


Active Materials
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Author : Peter Fratzl
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-12-20

Active Materials written by Peter Fratzl and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-20 with Science categories.


What are active materials? This book aims to introduce and redefine conceptions of matter by considering materials as entities that ‘sense’ and respond to their environment. By examining the modeling of, the experiments on, and the construction of these materials, and by developing a theory of their structure, their collective activity, and their functionality, this volume identifies and develops a novel scientific approach to active materials. Moreover, essays on the history and philosophy of metallurgy, chemistry, biology, and materials science provide these various approaches to active materials with a historical and cultural context. The interviews with experts from the natural sciences included in this volume develop new understandings of ‘active matter’ and active materials in relation to a range of research objects and from the perspective of different scientific disciplines, including biology, physics, chemistry, and materials science. These insights are complemented by contributions on the activity of matter and materials from the humanities and the design field. Discusses the mechanisms of active materials and their various conceptualizations in materials science. Redefines conceptions of active materials through interviews with experts from the natural sciences. Contextualizes, historizes, and reflects on different notions of matter/materials and activity through contributions from the humanities. A highly interdisciplinary approach to a cutting-edge research topic, with contributions from both the sciences and the humanities.



Bloomsbury Semiotics Volume 2 Semiotics In The Natural And Technical Sciences


Bloomsbury Semiotics Volume 2 Semiotics In The Natural And Technical Sciences
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Author : Jamin Pelkey
language : en
Publisher: Bloomsbury Publishing
Release Date : 2023-01-12

Bloomsbury Semiotics Volume 2 Semiotics In The Natural And Technical Sciences written by Jamin Pelkey and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-12 with Literary Criticism categories.


Bloomsbury Semiotics offers a state-of-the-art overview of the entire field of semiotics by revealing its influence on a wide range of disciplinary perspectives. With four volumes spanning theory, method and practice across the disciplines, this definitive reference work emphasizes and strengthens common bonds shared across intellectual cultures, and facilitates the discovery and recovery of meaning across fields. It comprises: Volume 1: History and Semiosis Volume 2: Semiotics in the Natural and Technical Sciences Volume 3: Semiotics in the Arts and Social Sciences Volume 4: Semiotic Movements Written by leading international experts, the chapters provide comprehensive overviews of the history and status of semiotic inquiry across a diverse range of traditions and disciplines. Together, they highlight key contemporary developments and debates along with ongoing research priorities. Providing the most comprehensive and united overview of the field, Bloomsbury Semiotics enables anyone, from students to seasoned practitioners, to better understand and benefit from semiotic insight and how it relates to their own area of study or research. Volume 2: Semiotics in the Natural and Technical Sciences presents the state-of-the art in semiotic approaches to disciplines ranging from mathematics and biology to neuroscience and medicine, from evolutionary linguistics and animal behaviour studies to computing, finance, law, architecture, and design. Each chapter casts a vision for future research priorities, unanswered questions, and fresh openings for semiotic participation in these and related fields.