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Deep Learning Illustrated : A Visual, Interactive Guide to Artificial Intelligence
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come."—Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance.Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques.Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn—with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens—presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches.Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it.He illuminates theory with hands-on Python code in accompanying Jupyter notebooks.To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available.See inside book for details.
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Interactive Visual Data Analysis
In the age of big data, being able to make sense of data is an important key to success.Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods.It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes.The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data.A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways.Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis.The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology.Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features:Dedicated to the synthesis of visual, interactive, and analysis methodsSystematic top-down view on visualization, interaction, and automatic analysisBroad coverage of fundamental and advanced visualization techniquesComprehensive chapter on interacting with visual representationsExtensive integration of automatic computational methodsAccessible portrayal of cutting-edge visual analytics technologyForeword by Jack van WijkFor more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.
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The 1619 Project: A Visual Experience
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Deep Learning : A Visual Approach
Deep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information hiding within their own data, create 'deep dream' artwork, or create new stories in the style of their favorite authors.
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Machine Learning and Visual Perception
Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.
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Using Visual Technology in Educational Ethnography : Theory, Method and the Visual
Introducing readers to debates underpinning the uses of visual technology in educational ethnography, this book takes actual research projects across different country contexts to discuss how research designs can use visual technology in educational ethnography; to show connections between theory, method and research problems. The book begins by introducing readers to three epistemological positions underpinning the use of visual technology in social science and educational research: the scientific realist, reflexive, and dialectic.It illustrates the uses of visual technology in the form of digital film and photographs, and how as a source of data, it has potential in developing ethnographic knowledge and representation in a range of educational contexts.The ideas are illustrated through three research projects in the context of classrooms, home environments and intervention work with practitioners.With clear practical applications, this resource considers the part theory plays in research designs, which use visual technology to investigate educational problems. Using Visual Technology in Educational Ethnography is ideal reading for anyone seeking to learn more about the benefits and practicalities of using visual technology within their ethnographic practice.
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Museums and Interactive Virtual Learning
Museums and Interactive Virtual Learning provides informal educators with practical resources that will help them to build dynamic digital engagement experiences within their own cultural organizations. Presenting vignettes from experienced museum educators and end users, as well as scientific data and practical resources, the book highlights the mutual benefits that Interactive Virtual Learning (IVL) programs offer to the museum and those visiting from a distance.Chapters mirror the step-by-step process of developing reputable IVL programs and emphasize how important it is for cultural organizations to encourage cross-departmental collaboration, if they wish to ensure that their programs align with the overall goals of the organization.Providing a thorough overview of the technologies, budget, marketing and staff requirements, the authors offer a realistic depiction of the work involved in building content for digital engagement.Emphasizing the importance of assessing existing programming, the book shows how institutions can adapt content to fit a virtual format and create inclusive digital engagement opportunities that reach local, national, and international audiences. Museums and Interactive Virtual Learning is an essential guide for professionals who are tasked with interpreting the content of a cultural organization and building lasting digital engagement opportunities.It will be particularly useful to those looking to reach diverse audiences.
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Children Visual Schedule Calendar Chart Autism Learning Materials Kids Visual Behavioral Tool
Children Visual Schedule Calendar Chart Autism Learning Materials Kids Visual Behavioral Tool
Price: 6.39 £ | Shipping*: 1.99 £
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