Who’s the real victim here? This tense and gripping novel explores of the consequences of cyberbullying. Late at night Tori receives a random phone call. It’s a wrong number. But the caller seems to want to talk, so she stays on the line. He asks for a single thing—one reason not to kill himself. The request plunges her into confusion. Because if this random caller actually does what he plans, he’ll be the second person connected to Tori to take his own life. And the first just might land her in jail. After her Facebook page became Exhibit A in a tragic national news story about cyberbullying, Tori can’t help but suspect the caller is a fraud. But what if he’s not? Her words alone may hold the power of life or death. With the clock ticking, Tori has little time to save a stranger—and maybe redeem herself—leading to a startling conclusion that changes everything…

A story about demons, angels and humans. Hikari is a seemingly normal high school student. His innocent and naive character led him to accept a deal offered by a demon called Lucifer, who promised to fulfil all his wishes in exchange for his soul. Initially unknown to him, he is actually inherently anything but ordinary; he is a being who is capable of disrupting the mysterious balance of the three realms and his life will be relentlessly pursued.

Key Features - Learn generative learning approach of ML and its key differences from the discriminative learning approach. - Understand why GANs are difficult to train, and key techniques to make their training stable to get impressive results. - Implement multiple variants of GANs for solving problems such as image generation, image-to-image translation, image super- resolution and so on. Book Description Generative Adversarial Networks have become quite popular due to their wide variety of applications in the fields of Computer Vision, Digital Marketing, Creative artwork and so on. One key challenge with GANs is that they are very difficult to train. This book is a comprehensive guide that highlights the common challenges of training GANs and also provides guidelines for developing GANs in such a way that they result in stable training and high-quality results. This book also explains the generative learning approach of training ML models and its key differences from the discriminative learning approach. After covering the different generative learning approaches, this book deeps dive more into the Generative Adversarial Network and their key variants. This book takes a hands-on approach and implements multiple generative models such as Pixel CNN, VAE, GAN, DCGAN, CGAN, SGAN, InfoGAN, ACGAN, WGAN, LSGAN, WGAN-GP, Pix2Pix, CycleGAN, SRGAN, DiscoGAN, CartoonGAN, Context Encoder and so on. It also provides a detailed explanation of some advanced GAN variants such as BigGAN, PGGAN, StyleGAN and so on. This book will make you a GAN champion in no time. What will you learn - Learn about the generative learning approach of training ML models - Understand key differences of the generative learning approach from the discriminative learning approach - Learn about various generative learning approaches and key technical aspects behind them - Understand and implement the Generative Adversarial Networks in details - Learn about some key challenges faced during GAN training and two common training failure modes - Build expertise in the best practices and guidelines for developing and training stable GANs - Implement multiple variants of GANs and verify their results on your own datasets - Learn about the adversarial examples, some key applications of GANs and common evaluation strategies Who this book is for If you are a ML practitioner who wants to learn about generative learning approaches and get expertise in Generative Adversarial Networks for generating high-quality and realistic content, this book is for you. Starting from a gentle introduction to the generative learning approaches, this book takes you through different variants of GANs, explaining some key technical and intuitive aspects about them. This book provides hands-on examples of multiple GAN variants and also, explains different ways to evaluate them. It covers key applications of GANs and also, explains the adversarial examples. Table of Contents 1. Generative Learning 2. Generative Adversarial Networks 3. GAN Failure Modes 4. Deep Convolutional GANs 4(II). Into the Latent Space 5. Towards stable GANs 6. Conditional GANs 7. Better Loss functions 8. Image-to-Image Translation 9. Other GANs and experiments 9(II). Advanced Scaling of GANs 10. How to evaluate GANs? 11. Adversarial Examples 12. Impressive Applications of GANs 13. Top Research Papers

Nothing like murder to welcome you home Jayden Carmichael is not moving back home to small town Riverbrook. She’s only there for a break. A few months’ worth, tops. She is definitely not getting involved in a murder investigation. So what if she found the body at her new job and the entire town thinks she’s killed one of the most obnoxious locals? And she’s most certainly not going to help Riverbrook’s new, gorgeous, and way too chill sheriff get the truth out. All Jayden wants is to lick her wounds, save up, and return to New York City to take the art world by storm. Instead, she gets swept up in Riverbrook’s gossip, sordid secrets, and simmering conflicts. With the help of loving relatives, a new friend with a wild beast for a pet, and the sheriff she’s so not interested in, Jayden might just make it out alive. Murderous Homecoming kicks off the Riverbrook Geeky Cozy Mysteries series with a reluctant sleuth, a small town trapped between its past and future, and a victim that rubbed just about everyone the wrong way. If you like murder mysteries, quirky protagonists, and huge pets, you’ll love this new series. Get your copy right now to find out if Jayden survives her Murderous Homecoming.

Mika, a high school student, lost most of his emotions due to a brain tumor he had in his childhood. After losing one of the most important things in his life, he stopped going to school and set himself a single goal: to earn a lot of money so that he could regain his emotions in the future with the power of wealth. Unaware of how his life would change, he continued to live in this seemingly meaningless existence. However, everything changed when a random person entered his life. Little did Mika know that this encounter would be unlike anything he had ever experienced before. The person who came into his life would bring something different, something beyond his sole purpose.

The mysterious author of Dreams of a Stranger advises: reader beware. Unconstrained by interpretation or explanation, the lucid dreams and nightmares catalogued herein are hectic, morbid, and disturbing. From a mind overcome by night terrors, each dated entry is a challenge. Do you dare escape into such an estranging dreamscape of darkness and light?

Ever wonder what makes furries tick? Those weird and wonderful folks with their colorful ears, paws, and tails? The people who draw comics, watch cartoons, and write stories about walking, talking animals? Yeah, what’s that all about? Join the Furscience team as we take you on a journey through more than a decade worth of data on the furry fandom. Learn who they are, what they do, and why they do it. Dig into the myths that surround this misunderstood community and let the data do the talking. Whether you’re new to the community or a greymuzzle yourself, know a friend or family member who’s a furry, or simply curious about one of the most interesting fandoms on the planet, you’re sure to learn something new! Because it’s not just science—it’s Furscience!

Taihei knows Umaru is just a liiiiittle obsessed with video games. But when a new game drops and her obsession reaches unexpected heights, he starts getting worried. Can he run interference before things get out of hand?

Shido stumbles across the ninth Spirit, Nia, collapsed from hunger on the side of the road. To make her fall in love with him, he decides to take her out on an otaku date, but she reveals a shocking truth... “I’ve only ever fallen in love with two dimensional characters.” What is Shido going to do?!