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Demon’s Quest

“He wants to talk to you again,” the girl winced.”I want to bust his nose,” I muttered, making the girl laugh. I hefted the tray up and carried it to his table.”I had to wait two clicks to get in here.””I told you to call ahead,” I said, settling the tray on a stand and handing off his noodle bowl, followed by the plate of ox-roast.”I thought you were making that up.””I never lie about food,” I said. “Is there anything else?” I swept the tray off the stand.”Ex-ASD?””That’s what the Director said. And he’s not high on my list, unless it’s the list of people I never want to see again.””What’s the problem with Director Keef?””Where do you want me to start?””Start with the most recent.””My dead daughter,” I snapped and walked away.After Reah’s brush with death, she is understandably distrustful of most of her mates. Striking out on her own, she is determined to investigate a rash of child disappearances across the universes, in and outside the Alliances. The evil she discovers in the course of her investigations could bring all worlds to their knees if Reah doesn’t find a way to destroy it.

Demon’s Dream

“Dad When did you get here?” Kevis looked up from his comp-vid-he was completing notes on a patient. He entered the last bit of information and stood to greet his father. “Kev, I have a patient I’d like to put in your clinic,” Karzac said, walking in to sit beside his son’s beautifully polished wood desk. Kevis, a physician for the past thirty years, ran a private clinic for patients with difficult mental problems. “Dad, surely not one of the Saa Thalarr,” Kevis sat down again and hit an electronic key on his deskcomp. Kevis looked very much like his father-nearly six feet tall with light-brown hair and green-gold eyes. He’d opened his private clinic twenty years earlier on Refizan, his father helping financially. Kevis was doing very well for himself. “No. Not one of those. And I think when we get her, the Larentii will have already made a great deal of progress in her treatment. What we really need for her, I think, is peace and quiet, where there isn’t anyone troubling her with something that needs to be done. She hasn’t had a vacation in years, has been attacked and made very ill recently and there are other circumstances that have affected her. She almost killed herself three days ago.” “Is there anything unusual about her?” Kevis lifted an eyebrow at his father. He suspected that the prospective patient might not be completely human. “She’s High Demon, son, and hasn’t been treated well for a very long time.” * * * Reah’s mental health is compromised, new enemies appear and Teeg’s control of the Campiaan Alliance is threatened. While Reah struggles to regain her health, her mates work to redeem themselves and reclaim her trust. Meanwhile, signs begin to appear-are the god wars imminent? Only time will tell…

Demon Revealed

(Reah, I know you’re not happy with us right now, but we didn’t order the firebombing. RAA moved without consulting us.)
(And I’m supposed to believe that?)
(Reah, you’re being disrespectful with a superior.) I didn’t answer him. If he knew how disrespectful I wanted to be – I was staring at Xiri’s bones, after all. I sobbed. (Reah? Reah, are you still there?)
(You be respectful, Vice-Director, the next time a friend’s bones lie beneath your hand.) I cut off the communication. Lendill didn’t try again.
The Drakus seed trade is threatening to destroy the Alliance as an old enemy reemerges. Reah is placed in the thick of that battle, with no experience and little help from her superiors. Unexpected betrayals and alliances are formed, and Reah must use every bit of her strength and wit to protect those she loves.

Delivering Happiness

Pay brand-new employees $2,000 to quit
Make customer service the responsibility of the entire company-not just a department
Focus on company culture as the #1 priority
Apply research from the science of happiness to running a business
Help employees grow-both personally and professionally
Seek to change the world
Oh, and make money too . . . **Pay brand-new employees $2,000 to quit
Make customer service the responsibility of the entire company-not just a department
Focus on company culture as the #1 priority
Apply research from the science of happiness to running a business
Help employees grow-both personally and professionally
Seek to change the world
Oh, and make money too . . .
Sound crazy? It’s all standard operating procedure at Zappos, the online retailer that’s doing over $1 billion in gross merchandise sales annually. After debuting as the highest-ranking newcomer in *Fortune* magazine’s annual “Best Companies to Work For” list in 2009, Zappos was acquired by Amazon in a deal valued at over $1.2 billion on the day of closing.
In DELIVERING HAPPINESS, Zappos CEO Tony Hsieh shares the different lessons he has learned in business and life, from starting a worm farm to running a pizza business, through LinkExchange, Zappos, and more. Fast-paced and down-to-earth, DELIVERING HAPPINESS shows how a very different kind of corporate culture is a powerful model for achieving success-and how by concentrating on the happiness of those around you, you can dramatically increase your own.
To learn more about the book, go to [www.deliveringhappinessbook.com](http://www.deliveringhappinessbook.com). …more **

Deep Learning From Scratch

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.
Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects.
This book provides:
* Extremely clear and thorough mental models—accompanied by working code examples and mathematical explanations—for understanding neural networks
* Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework
* Working implementations and clear-cut explanations of convolutional and recurrent neural networks
* Implementation of these neural network concepts using the popular PyTorch framework

Deep Learning for NLP and Speech Recognition

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights  into  using  the  tools  and  libraries  for  real-world  applications.  *Deep Learning for NLP and Speech Recognition*  explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.  
Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. 
The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:
**Machine Learning, NLP, and Speech Introduction**
The first part has **three chapters** that introduce readers to the fields of  NLP, speech recognition,  deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries.
**Deep Learning Basics**
The **five chapters** in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks.
**Advanced Deep Learning Techniques for Text and Speech**
The third part has **five chapters** that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.  **
### Sinossi
This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights  into  using  the  tools  and  libraries  for  real-world  applications.  *Deep Learning for NLP and Speech Recognition*  explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.  
Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. 
The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:
**Machine Learning, NLP, and Speech Introduction**
The first part has **three chapters** that introduce readers to the fields of  NLP, speech recognition,  deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries.
**Deep Learning Basics**
The **five chapters** in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks.
**Advanced Deep Learning Techniques for Text and Speech**
The third part has **five chapters** that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies. 
### Dalla quarta di copertina
With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights  into  using  the  tools  and  libraries  for  real-world  applications.  *Deep Learning for NLP and Speech Recognition*  explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. 
The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:
**Machine Learning, NLP, and Speech Introduction** The first part has  **three chapters** that introduce readers to the fields of  NLP, speech recognition,  deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries.        **Deep Learning Basics** The  **five chapters**  in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks.        **Advanced Deep Learning Techniques for Text and Speech** The third part has  **five chapters**  that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Dangerous Visions 1

Anthologies seldom make history, but *Dangerous Visions* is a grand exception. Harlan Ellison’s 1967 collection of science fiction stories set a standard, as more than a half dozen of its stories won major awards — not surpising with a contributors list that reads like a who’s who of 20th-century SF: Samuel D. Delany, Philip K. Dick, Ben Bova, Roger Zelazny, Philip Jos e Farmer, Fritz Leiber, Larry Niven, and Robert Silverberg. Unavailable for 15 years, this huge anthology now returns to print with a new introduction and annotations by Ellison.

Dagboek van een herdershond

Dagboek van een herdershond is het geliefde verhaal van de jonge kapelaan-op-de-fiets Erik Odekerke in het Limburgse Geleen van de jaren rond de Eerste Wereldoorlog. Soms vertederend,soms stuntelig, maar altijd met de beste bedoelingen zet de jonge kapelaan zich in voor zijn dorpelingen in een tijd waarin de streek te maken krijgt met belangrijke veranderingen door de opkomst van de mijnbouw.

D6

This is a collection of the first six short stories in the Caverns and Creatures series. It includes the following titles:
Cave of the Kobolds
ZOMBIE ATTACK!!!
Orcs, Bears, and Assholes
Shipfaced
Dungeon Crawl
The Creep on the Borderlands
If you’ve already purchased all of these books, there is nothing new for you here. If you haven’t yet purchased any, you can save a few bucks by buying this collection. If you’ve only purchased some of these already, you’ll have to do some math.

Crazy Love

**If everyone wants to say I’m trippin’, well, that’s their problem. . .**
If you saw my boo Sincere, you’d totally understand why I’ve dropped everything–even my besties–to be with him 24/7. After all, what girl wouldn’t do whatever it takes to show her first-ever boyfriend she’s all he could ever want? I know I’m a prize, but relationships are tough enough when you’re just a high school senior, so I’ve really had to up my game to keep a college freshman like Sincere interested. And if that means hacking his cell and following him everywhere, I’m down. Because I just know what we have is for always. And I’m going to prove it, no matter how far I have to go. . .
“Hot and poppin’ with drama and life lessons. The world of teen lit has never seen anything like this before!”–Ni-Ni Simone
**Amir Abrams** is a regular dude with a dream. Born in Brooklyn, Amir has a thing for fresh kicks, fly whips, and all things Polo. For Amir, writing teen fiction was never something he imagined himself doing until he started working with Ni-Ni Simone on *Hollywood High.* Now, he’s amped about the endless possibilities. Amir hopes to be an inspiration to others and is determined to make a difference in the lives of teens everywhere. **
### Sinossi
**If everyone wants to say I’m trippin’, well, that’s their problem. . .**
If you saw my boo Sincere, you’d totally understand why I’ve dropped everything–even my besties–to be with him 24/7. After all, what girl wouldn’t do whatever it takes to show her first-ever boyfriend she’s all he could ever want? I know I’m a prize, but relationships are tough enough when you’re just a high school senior, so I’ve really had to up my game to keep a college freshman like Sincere interested. And if that means hacking his cell and following him everywhere, I’m down. Because I just know what we have is for always. And I’m going to prove it, no matter how far I have to go. . .
“Hot and poppin’ with drama and life lessons. The world of teen lit has never seen anything like this before!”–Ni-Ni Simone
**Amir Abrams** is a regular dude with a dream. Born in Brooklyn, Amir has a thing for fresh kicks, fly whips, and all things Polo. For Amir, writing teen fiction was never something he imagined himself doing until he started working with Ni-Ni Simone on *Hollywood High.* Now, he’s amped about the endless possibilities. Amir hopes to be an inspiration to others and is determined to make a difference in the lives of teens everywhere.
### L’autore
**Amir Abrams** is a regular dude with a dream. Born in Brooklyn, Amir has a thing for fresh kicks, fly whips, and all things Polo. For Amir, writing teen fiction was never something he imagined himself doing until he started working with Ni-Ni Simone on the Hollywood High series. In addition to the Hollywood High series, he also penned *Crazy Love, The Girl of His Dreams, Caught Up* , and *Diva Rules*. You can hit him up at [email protected], on Facebook at itsyaboyamir, or follow him on Twitter @ItsyaboyAmir.

Core Strength for 50+: A Customized Program for Safely Toning Ab, Back & Oblique Muscles

**STAY YOUNG WITH EFFECTIVE, EFFICIENT CORE STRENGTH TRAINING**
From swinging a golf club to carrying a bag of groceries, the core is everything. Balance, agility and youthful stature are just a few of the benefits of a toned and powerful midsection. *Core Strength for 50+* has everything you need to:
**• Improve posture
• Enhance sports performance
• Guarantee low back health
• Avoid injury**
With workouts ranging from basic mat work routines to unstable training with foam rollers and stability balls, *Core Strength for 50+* provides more than 75 exercises that build and maintain strong muscles in the abs, obliques, lower back and butt.

Consequences

**Anthony Rawlings had a plan—to teach Claire Nichols to behave. Claire Nichols had a plan—to survive!** In an unfamiliar bedroom within a luxurious mansion, Claire Nichols wakes to memories of a brutal abduction. All of her recollections have one common denominator, the man she just met—Anthony Rawlings. Unbeknownst to Claire, Anthony has had her in his sights for a long time. Every action has consequences—and his actions resulted in their chance meeting. Facing incomprehensible circumstances, Claire must learn to survive as she comes to terms with her new reality—every aspect of her livelihood is now dependent upon the tall, dark-haired, dark-eyed tycoon. Anthony may appear to the world as a prosperous, benevolent, kind businessman, but in reality Claire learns he is also a menacing, controlling captor with very strict rules: Do as you’re told, public failure is not an option, and don’t divulge private information. Failure to follow these rules, and more, is met with serious consequences. In an effort to earn her freedom, Claire learns her lessons well, and before long, she unknowingly captivates her captor. Anthony reluctantly becomes enthralled with Claire’s beauty, resilience, and determination. Their interaction instigates strong emotions—including fear, anger, love, and lust—as their journey flows into uncharted waters of intrigue and passion. From the opening criminal abduction, through the twists and turns, to the unlikely romantic thrills, the suspense climaxes as Aleatha Romig utilizes vivid detail, allowing this novel to unfold like a movie. Can you put the pieces of the puzzle together? Claire Nichols’s abduction wasn’t a random act—did she learn her lessons well enough? Will these unlikely lovers remain true—or will she learn the truth before it’s too late? **