Practical Deep Learning for Cloud, Mobile, and Edge


Book Description

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users




Reverse Image Search


Book Description

What is Reverse Image Search Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful. In particular, reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. Reverse image search also allows users to discover content that is related to a specific sample image or the popularity of an image, and to discover manipulated versions and derivative works. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Reverse image search Chapter 2: Web crawler Chapter 3: Image retrieval Chapter 4: Recommender system Chapter 5: Document retrieval Chapter 6: Content-based image retrieval Chapter 7: Automatic image annotation Chapter 8: Inverted index Chapter 9: Google Images Chapter 10: Social search (II) Answering the public top questions about reverse image search. (III) Real world examples for the usage of reverse image search in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Reverse Image Search.




Image Retrieval


Book Description

What is Image Retrieval An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Image retrieval Chapter 2: Information retrieval Chapter 3: Content-based image retrieval Chapter 4: Automatic image annotation Chapter 5: Google Images Chapter 6: Image meta-search Chapter 7: Visual search engine Chapter 8: Reverse image search Chapter 9: TinEye Chapter 10: Image collection exploration (II) Answering the public top questions about image retrieval. (III) Real world examples for the usage of image retrieval in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Retrieval.




Modern Quilts


Book Description

Alexander, Paige Allocca, Cinzia Anderson, Kari L. Aschehoug, Daisy P. Asinari, Neva Ault, Jill Averinos, Melissa Barbagallo, Teresa Barbin, Linda Barsness, Rachel Bearden, Nathalie Beebe, Mickey Bencsko, Michelle Engel Bermingham, Wendy Berrill, Hayley Berryhill, Andrea Bird, Bev Black, Heather Blakesley, Katie Boenish, Anna Bond, Sarah Borger, Susan Boudreaux, Mathew Bowman, Angela Box-McCoy, Kristyn Brand, Jenna Brickey, Cheryl Brown, Jessica Bryan, Rebecca Burnett, Rebecca Butler, Amy Caggiano, Arianna Callahan, Megan Camalick, Chelsea Chahley, Leanne Christ, Joan Cier, Emily Cifaldi-Morrill, Sheri Coffey, Emily Coffey, Miriam Cohen, Leanne Cole, Pamela J. Converse, Carson Corcoran, Amber Corry, Melissa Costa, Ruth Craft, Violet Crow, Nancy Dackson, Elizabeth Daksiewicz, Nicole Dandekar, Shruti Daniels, Rosalind Darby, Ben Daum, Kristy Davis, Michelle Day, Leah Deise, Alexis Deister, Anne Dithmer, Katherine Doane, Emily Doering, Shawna Dorr, Rachael Duling, Karen Dunn, Charlayne Eichler-Messmer, Kim Elliott, Libs Elliott, Heidi Evans, Season Faughnan, Tara Ferguson, Heather Ferrill James, Donna Findlay Wolfe, Victoria Fleckenstein, Krista Flower, Lysa Frieden, Wendy Friedlander, Carolyn Friend, Amy Fuchs, Yvonne Gee's Bend Gering, Jacquie Gold, Penny Gold, Lesley Goodwin, Hillary Gregory, Mary Greuter, Yara Griffin, Scott D. Grotrian, Carole Anne Haight Carlton, Alissa Hannon, Shelly Harp, Charlene Harrell, Phoebe Hartman, Elizabeth Hartrich, Laura Harvatine, Liz Harvey Lee, Karen Haynes, Luke Heinrich, Lee Heisler, Carol Heitland, Brigitte Henderson, Shea Henderson, Angie Hennebury, Krista Hertzer, Katrina Hohnstreiter, Amanda Hone Murdock, Kamie Hubbard, Solidia Hungerford, Linda Hutchinson, Rossie Ireland Beaver, Cassandra Jalbert, Debra L. Jenkins, Jeannie Jenkins, Lee Johnston, Jennifer Jones, Faith Jones, Kat Jones Rossotti, Jennifer Jubie, Becca June, Agatha Keahey, Carla Kehnle, Nydia Kerr, Bill Kerr, Mary Khaja, Samarra Kight, Kim Kimber, Chawne Kloke, Jennifer Knauer, Thomas Kyle, Susan Lang, Lauren Larson, Katie Leray, Melissa Levin, Tami Lichner, Alyssa Loewenberg, Marsha Lyon, Jenny MacDonald, Susan Maple, Karen Maroon, Nikki Marston, Gwen McDowell Hopper, Laura Mehling, Dena Menardi, Riane Menzer, Mary Miller Curley, Melissa Molen, Colleen Myer, Darby Neblett, Nicole Neill, Lindsey Nichols, Sheri O'Malley, Stacey Lee Olszewski, Bernie Orth, Lou Page, Shannon Pagliai, Shelly Paquette, Suzanne Parkes, Heidi Parson, Emily Patel, Krishma Pedersen, Katie Perrigo, Christine Perrino, Barbara Pettway, Mary Ann Pina, Gina Poplin, Elaine Wick Porcella, Yvonne Pukstas, Laura Purvis, Nancy Quilts, Quantum Ramsey Keasler, Mary Rapp, Katie Reeves, Olan Reiter, Michelle Ricks, Christine Ringle, Weeks Roach, Rebecca Rocco, Pam Roth, Wendy Rouse, Daniel Ruyle, Stephanie Ryan, Kristi Saafir, Latifah Samborski, Annette Sanclaria, Judy Santistevan, Susan Schmidt, Denyse Schraw, Sarah Schroeder, Kristi Schwarz, Dorie Seitz, Sarah Sessions, Emily Sharman, Stacey Sheridan, Caro Shibley, Beth Shields, Kristin Sipes, Lisa Skardal, Steph Skumanich, Shelby Slusser Clay, Susan Smith, Juli Irene Soper, Kim Sorenson, Jen Soto, Maritza Sovey, Corinne Sparkles, Molli Spiridon, Linda Stead, Lindsay Strong, Susan Struckmeyer, Amy Sullivan, Anne Sutters, Silvia Toye, Jessica Tuazon, Melanie Upitis, Kathryn Vandeyar, Diana Varner, Marla Vinegrad, Betsy Vojtechovsky, Kari Volckening, Bill Wade, Amy Walker, Lucinda Walters, Angela Watson, Christa Wayne, Dena Wells, Jean Whittington, Nancy Wikander, Carrie Wilkie, Michelle Williams, Suzy Williams, Julia Wilson, Sarah Withers, Krista Wood, Kelly Wood, Sherri Lynn Workman, Mary York, Kathy Young, Jaime




Fake Photos


Book Description

A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Stalin, Mao, Hitler, Mussolini, and other dictators routinely doctored photographs so that the images aligned with their messages. They erased people who were there, added people who were not, and manipulated backgrounds. They knew if they changed the visual record, they could change history. Once, altering images required hours in the darkroom; today, it can be done with a keyboard and mouse. Because photographs are so easily faked, fake photos are everywhere—supermarket tabloids, fashion magazines, political ads, and social media. How can we tell if an image is real or false? In this volume in the MIT Press Essential Knowledge series, Hany Farid offers a concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Farid, an expert in photo forensics, has spent two decades developing techniques for authenticating digital images. These techniques model the entire image-creation process in order to find the digital disruption introduced by manipulation of the image. Each section of the book describes a different technique for analyzing an image, beginning with those requiring minimal technical expertise and advancing to those at intermediate and higher levels. There are techniques for, among other things, reverse image searches, metadata analysis, finding image imperfections introduced by JPEG compression, image cloning, tracing pixel patterns, and detecting images that are computer generated. In each section, Farid describes the techniques, explains when they should be applied, and offers examples of image analysis.




Content Based Image Retrieval


Book Description

What is Content Based Image Retrieval Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the problem of image retrieval, which is the difficulty of searching for digital images in big databases. Other names for this technique include content-based visual information retriev. In contrast to the conventional concept-based methods, content-based picture retrieval is a more recent development. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Content-based image retrieval Chapter 2: Information retrieval Chapter 3: Image retrieval Chapter 4: Automatic image annotation Chapter 5: Tag cloud Chapter 6: Video search engine Chapter 7: Image organizer Chapter 8: Image meta search Chapter 9: Reverse image search Chapter 10: Visual search engine (II) Answering the public top questions about content based image retrieval. (III) Real world examples for the usage of content based image retrieval in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Content Based Image Retrieval.




Expert Internet Searching


Book Description

In an environment where increasing amounts of information (and fake news) flood the internet on websites and social media, the information professional’s job is getting harder. It is important that they are skilled at finding and using the appropriate information and assisting users in working out what information they need and the best way of getting it. Expert Internet Searching provides library and information professionals with in-depth practical information on how to search the internet quickly and effectively to help their users and make their lives easier. Now fully revised for its fifth edition, this book covers the basics of search before going into detail on how to run advanced and complex searches using a variety of different search engines. This edition has been updated to include current trends in search, such as social media search, fake news, and discussion of the authority and validity of search results. It will ensure that information professionals, whether complete beginners or more experienced, are able to work efficiently to obtain accurate information in a timely fashion. Key topics covered include: an introduction to the internet and search enginesthe Google experience and a discussion of its disadvantagesdirectory, clustering and similarity search enginesvisual and image search enginesspecialized search engines incorporating academic search and services for childrenacademic and other specialized search enginesnews-based search engines including traditional media resources and a discussion of fake newssocial media search engineshints and tips on better searching. This book will be useful reading for any information professional who is seeking to gain an in-depth understanding of the search process and the search industry. It provides a vital guide to the basics in search, but will also help experienced professionals stay up to date with the latest trends and information in the industry.




Digital Witness


Book Description

This book covers the developing field of open source research and discusses how to use social media, satellite imagery, big data analytics, and user-generated content to strengthen human rights research and investigations. The topics are presented in an accessible format through extensive use of images and data visualization.




Social Media Recruitment


Book Description

As the recruiting landscape changes, different methods are needed to attract talent, and social media is a key channel. However, many HR and recruiting professionals are not equipped with the knowledge and understanding to create a social media recruiting strategy. Social Media Recruitment combines practical guidance with case studies and insights from industry thought leaders to provide a full understanding of what social media means for HR and recruitment and how to successfully integrate and use it. In a series of easy-to-follow chapters and manageable steps, Social Media Recruitment covers the essentials from the beginning to the end of the process, including: how to implement a social media strategy; the crossover between HR, recruiting and marketing; measuring ROI; HR policies and procedures needed; big data and HR; using technology in recruiting, such as video interviewing; social media as an internal collaboration and communication tool across companies; how social media will impact recruiting and HR in the future. Ideal for all HR and recruitment professionals, and anyone responsible for talent strategy, Social Media Recruitment focuses on devising and implementing a social media recruitment strategy that works for your organization and is aligned with your recruitment objectives.




An Ethical Guide to Cyber Anonymity


Book Description

Dive into privacy, security, and online anonymity to safeguard your identity Key FeaturesLeverage anonymity to completely disappear from the public viewBe a ghost on the web, use the web without leaving a trace, and master the art of invisibilityBecome proactive to safeguard your privacy while using the webBook Description As the world becomes more connected through the web, new data collection innovations have opened up more ways to compromise privacy. Your actions on the web are being tracked, information is being stored, and your identity could be stolen. However, there are ways to use the web without risking your privacy. This book will take you on a journey to become invisible and anonymous while using the web. You will start the book by understanding what anonymity is and why it is important. After understanding the objective of cyber anonymity, you will learn to maintain anonymity and perform tasks without disclosing your information. Then, you'll learn how to configure tools and understand the architectural components of cybereconomy. Finally, you will learn to be safe during intentional and unintentional internet access by taking relevant precautions. By the end of this book, you will be able to work with the internet and internet-connected devices safely by maintaining cyber anonymity. What you will learnUnderstand privacy concerns in cyberspaceDiscover how attackers compromise privacyLearn methods used by attackers to trace individuals and companiesGrasp the benefits of being anonymous over the webDiscover ways to maintain cyber anonymityLearn artifacts that attackers and competitors are interested inWho this book is for This book is targeted at journalists, security researchers, ethical hackers, and anyone who wishes to stay anonymous while using the web. This book is also for parents who wish to keep their kid's identities anonymous on the web.