yolo
yolo

Author: Lauren Myracle

Publisher: Abrams

Published: 2014-08-26

Total Pages: 212

ISBN-13: 1613125046

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Through texts and messages, the mega-bestselling, beloved Internet Girls series followed the ups and downs of school for three very different, very close friends. Now it’s freshman year of college for the winsome threesome, and *everything* is different. For one, the best friends are facing their first semester apart. Way, way apart. Maddie’s in California, Zoe’s in Ohio, and Angela’s back in Georgia. And it’s not just the girls who are separated. Zoe’s worried that Doug wants to break up now that they’re at different schools, and Maddie’s boyfriend, Ian, is on the other side of the country.In the face of change and diverging paths, Maddie’s got a plan to keep the friends close, and it involves embracing the present, making memories, and . . . roller derby! Using of-the-moment technology, Lauren Myracle brings her groundbreaking series into the brave new virtual world of texting and tweets. Praise for yolo STARRED REVIEW "This honest, nuanced, accessible, and credible account provides teen girls with an authentic and skillfully told description of college life. The story, which can stand independently from the rest of the Internet Girls series, offers readers realistic, engaging, and provocative perspectives on scary first semesters away from home and sage advice about drinking, partying, and shutting down socially, all without ever leaving the perfectly crafted text-message flow. --Booklist, starred review "Funny, deceptively smart and just in time for those going off to college." --Kirkus Reviews

Y.O.L.O
Y.O.L.O

Author: Hidee

Publisher: Independently Published

Published: 2021-09-15

Total Pages: 238

ISBN-13:

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Y.O.L.O - You Only Live Once Carter Jones, a straight-A student who has never broken a rule before, and Killian Henderson, the school's troublemaker, end up in detention together. Carter notices the tattoo on Killian's knuckles. Y.O.L.O. "You like it?" Killian smiled, flipping his hand so I could get a better look. "It's my life's philosophy." I scowled. Your life philosophy is based on a cringey, overused acronym? "Then let's make a bet," Killian smiled. "A bet?" I asked. "Four dares. You give me four dares to convince me that your lifestyle is harder than mine, and I'll give you four dares to show you how hard it is to live life like you only have one." Together, the two boys challenge each other to find the meaning behind living once. But what happens when their bet goes beyond what they expected? And what happens when feelings get involved?

YOLO Juliet
YOLO Juliet

Author: William Shakespeare

Publisher: Random House Books for Young Readers

Published: 2015-05-26

Total Pages: 114

ISBN-13: 055353548X

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Romeo and Juliet, one of the greatest love stories ever told . . . in texts?! Imagine: What if those star-crossed lovers Romeo and Juliet had smartphones? A classic is reborn in this fun and funny adaptation of one of Shakespeare’s most famous plays! Two families at war. A boy and a girl in love. A secret marriage gone oh-so-wrong. 3h8. The classics just got a whole lot more interesting. ;) tl;dr A Shakespeare play told through its characters texting with emojis, checking in at certain locations, and updating their relationship statuses. The perfect gift for hip theater lovers and teens. A glossary and cast of characters are included for those who need it. For example: tl;dr means too long; didn’t read.

Deep Learning for Computer Vision
Deep Learning for Computer Vision

Author: Rajalingappaa Shanmugamani

Publisher: Packt Publishing Ltd

Published: 2018-01-23

Total Pages: 304

ISBN-13: 1788293355

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Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key Features Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on optimizing and improving the performance of your models under various constraints Book Description Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learn Set up an environment for deep learning with Python, TensorFlow, and Keras Define and train a model for image and video classification Use features from a pre-trained Convolutional Neural Network model for image retrieval Understand and implement object detection using the real-world Pedestrian Detection scenario Learn about various problems in image captioning and how to overcome them by training images and text together Implement similarity matching and train a model for face recognition Understand the concept of generative models and use them for image generation Deploy your deep learning models and optimize them for high performance Who this book is for This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

Mastering OpenCV 4 with Python
Mastering OpenCV 4 with Python

Author: Alberto Fernández Villán

Publisher: Packt Publishing Ltd

Published: 2019-03-29

Total Pages: 517

ISBN-13: 1789349753

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Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key FeaturesDevelop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and PythonApply machine learning and deep learning techniques with TensorFlow and KerasDiscover the modern design patterns you should avoid when developing efficient computer vision applicationsBook Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands. What you will learnHandle files and images, and explore various image processing techniquesExplore image transformations, including translation, resizing, and croppingGain insights into building histogramsBrush up on contour detection, filtering, and drawingWork with Augmented Reality to build marker-based and markerless applicationsWork with the main machine learning algorithms in OpenCVExplore the deep learning Python libraries and OpenCV deep learning capabilitiesCreate computer vision and deep learning web applicationsWho this book is for This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

Java Deep Learning Projects
Java Deep Learning Projects

Author: Md. Rezaul Karim

Publisher: Packt Publishing Ltd

Published: 2018-06-29

Total Pages: 428

ISBN-13: 1788996526

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Build and deploy powerful neural network models using the latest Java deep learning libraries Key Features Understand DL with Java by implementing real-world projects Master implementations of various ANN models and build your own DL systems Develop applications using NLP, image classification, RL, and GPU processing Book Description Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you’ll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expert reviews and tips will follow every project to give you insights and hacks. By the end of this book, you will have stepped up your expertise when it comes to deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems. What you will learn Master deep learning and neural network architectures Build real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs Train ML agents to learn from data using deep reinforcement learning Use factorization machines for advanced movie recommendations Train DL models on distributed GPUs for faster deep learning with Spark and DL4J Ease your learning experience through 69 FAQs Who this book is for If you are a data scientist, machine learning professional, or deep learning practitioner keen to expand your knowledge by delving into the practical aspects of deep learning with Java, then this book is what you need! Get ready to build advanced deep learning models to carry out complex numerical computations. Some basic understanding of machine learning concepts and a working knowledge of Java are required.