Image Text Architecture


Image Text Architecture
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Image Text Architecture


Image Text Architecture
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Author : Robin Wilson
language : en
Publisher: Routledge
Release Date : 2016-03-09

Image Text Architecture written by Robin Wilson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-09 with Architecture categories.


Image, Text, Architecture brings a radical and detailed analysis of the modern and contemporary architectural media, addressing issues of architectural criticism, architectural photography and the role of journal editors. It covers examples as diverse as an article by British artist Paul Nash in The Architectural Review, 1940, an early project by French architects Lacaton & Vassal published in the journal 2G, 2001, and recent photography by Hisao Suzuki for the Spanish journal El Croquis. At the intersection of image and text the book also reveals the role of the utopian impulse within the architectural media, drawing on theories of utopian discourse from the work of the French semiotician and art theorist Louis Marin, and the American Marxist critic Fredric Jameson. Through this it builds a fresh theoretical approach to journal studies, revealing a hitherto unexplored dimension of "latent" or "unconscious" discourse within the media portrait of architecture. The purpose of this enquiry is to highlight moments where a different type of critical voice emerges on the architectural journal page, indicating the possibility of a more progressive engagement with the media as a platform for critical and speculative thinking about architecture, and to rethink the journals’ role within architectural history.



Image Text Architecture


Image Text Architecture
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Author : Robin Wilson
language : en
Publisher: Routledge
Release Date : 2016-03-09

Image Text Architecture written by Robin Wilson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-09 with Architecture categories.


Image, Text, Architecture brings a radical and detailed analysis of the modern and contemporary architectural media, addressing issues of architectural criticism, architectural photography and the role of journal editors. It covers examples as diverse as an article by British artist Paul Nash in The Architectural Review, 1940, an early project by French architects Lacaton & Vassal published in the journal 2G, 2001, and recent photography by Hisao Suzuki for the Spanish journal El Croquis. At the intersection of image and text the book also reveals the role of the utopian impulse within the architectural media, drawing on theories of utopian discourse from the work of the French semiotician and art theorist Louis Marin, and the American Marxist critic Fredric Jameson. Through this it builds a fresh theoretical approach to journal studies, revealing a hitherto unexplored dimension of "latent" or "unconscious" discourse within the media portrait of architecture. The purpose of this enquiry is to highlight moments where a different type of critical voice emerges on the architectural journal page, indicating the possibility of a more progressive engagement with the media as a platform for critical and speculative thinking about architecture, and to rethink the journals’ role within architectural history.



Reality Modeled After Images


Reality Modeled After Images
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Author : Michael Young
language : en
Publisher: Routledge
Release Date : 2021-08-30

Reality Modeled After Images written by Michael Young and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-30 with Architecture categories.


Reality Modeled After Images: Architecture and Aesthetics after the Digital Image explores architecture’s entanglement with contemporary image culture. It looks closely at how changes produced through technologies of mediation alter disciplinary concepts and produce political effects. Through both historical and contemporary examples, it focuses on how conventions of representation are established, maintained, challenged, and transformed. Critical investigations are conjoined with inquiries into aesthetics and technology in the hope that the tensions between them can aid an exploration into how architectural images are produced, disseminated, and valued; how images alter assumptions regarding the appearances of architecture and the environment. For students and academics in architecture, design and media studies, architectural and art history, and related fields, this book shows how design is impacted and changed by shifts in image culture, representational conventions and technologies.



Signal Image Architecture


Signal Image Architecture
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Author : John May
language : en
Publisher:
Release Date : 2019

Signal Image Architecture written by John May and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Architecture categories.


Architecture is immersed in an immense cultural experiment called imaging. ​Yet the technical status and nature of that imaging must be reevaluated. What happens to the architectural mind when it stops pretending that electronic images of drawings made by computers are drawings? When it finally admits that imaging is not drawing, but is instead something that has already obliterated drawing? These are questions that, in general, architecture has scarcely begun to pose​, ​imagining that somehow its ideas and practices can resist the culture of imaging in which ​the rest of life now either swims or drowns. To patiently describe the world to oneself is to prepare the ground for an as yet unavailable politics. New descriptions can, under the right circumstances, be made to serve as the raw substrate for political impulses that cannot yet be expressed or lived, because their preconditions have not been arranged and articulated. Signal. Image. Architecture.​ aims to clarify the status of computational images in contemporary architectural thought and practice by showing what happens if the technical basis of architecture is examined very closely, if its technical terms and concepts are taken very seriously, at times even literally. It is not a theory of architectural images, but rather a brief philosophical description of architecture after imaging.



The Deep Learning Architect S Handbook


The Deep Learning Architect S Handbook
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Author : Ee Kin Chin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29

The Deep Learning Architect S Handbook written by Ee Kin Chin 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 2023-12-29 with Computers categories.


Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.



The Active Image


The Active Image
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Author : Sabine Ammon
language : en
Publisher: Springer
Release Date : 2017-07-10

The Active Image written by Sabine Ammon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-10 with Philosophy categories.


The “active image” refers to the operative nature of images, thus capturing the vast array of “actions” that images perform. This volume features essays that present a new approach to image theory. It explores the many ways images become active in architecture and engineering design processes and how, in the age of computer-based modeling, images play an indispensable role. The contributors examine different types of images, be they pictures, sketches, renderings, maps, plans, and photographs; be they analog or digital, planar or three-dimensional, ephemeral, realistic or imaginary. Their essays investigate how images serve as means of representing, as tools for thinking and reasoning, as ways of imagining the inexistent, as means of communicating and conveying information and how images may also perform functions and have an agency in their own. The essays discuss the role of images from the perspective of philosophy, theory and history of architecture, history of science, media theory, cognitive sciences, design studies, and visual studies, offering a multidisciplinary approach to imagery and showing the various methodologies and interpretations in current research. In addition, they offer valuable insight to better understand how images operate and function in the arts and sciences in general.



Hands On Transfer Learning With Python


Hands On Transfer Learning With Python
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Author : Dipanjan Sarkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31

Hands On Transfer Learning With Python written by Dipanjan Sarkar 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 2018-08-31 with Computers categories.


Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning principles in Python implement transfer learning to solve real-world research problems Perform complex operations such as image captioning neural style transfer Book Description Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems. What you will learn Set up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL models Explore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functions Get to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLP Who this book is for Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.



Advanced Data Mining And Applications


Advanced Data Mining And Applications
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Author : Xiaochun Yang
language : en
Publisher: Springer Nature
Release Date : 2023-12-06

Advanced Data Mining And Applications written by Xiaochun Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with Computers categories.


This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.



Invisible Images


Invisible Images
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Author : Beverly Willis
language : en
Publisher: Access Publishers Network
Release Date : 1997

Invisible Images written by Beverly Willis and has been published by Access Publishers Network this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Architecture categories.


A book for readers of the 21st century who have learned--and demand--to interact with media that includes both ideas and imagery, Invisible Images contains 170 stunning photographs and drawings of Willis's own architectural projects, multimedia art, and symbols.



Architecture In The Age Of Printing


Architecture In The Age Of Printing
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Author : Mario Carpo
language : en
Publisher: MIT Press
Release Date : 2017-02-10

Architecture In The Age Of Printing written by Mario Carpo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-10 with Architecture categories.


A history of the influence of communication technologies on Western architectural theory. The discipline of architecture depends on the transmission in space and time of accumulated experiences, concepts, rules, and models. From the invention of the alphabet to the development of ASCII code for electronic communication, the process of recording and transmitting this body of knowledge has reflected the dominant information technologies of each period. In this book Mario Carpo discusses the communications media used by Western architects, from classical antiquity to modern classicism, showing how each medium related to specific forms of architectural thinking. Carpo highlights the significance of the invention of movable type and mechanically reproduced images. He argues that Renaissance architectural theory, particularly the system of the five architectural orders, was consciously developed in response to the formats and potential of the new printed media. Carpo contrasts architecture in the age of printing with what preceded it: Vitruvian theory and the manuscript format, oral transmission in the Middle Ages, and the fifteenth-century transition from script to print. He also suggests that the basic principles of "typographic" architecture thrived in the Western world as long as print remained our main information technology. The shift from printed to digital representations, he points out, will again alter the course of architecture.