Shy and mostly solitary after a tragic loss, Clare has never been on the radar of any social scene. Then a steamy chance encounter changes everything. Suddenly one naughty misadventure isn’t enough—for either of them. Eric is determined to open Clare’s eyes to every kind of pleasure, even if it means exploring an unconventional arrangement and ultimately taking a chance on something deeper.
But with change comes new challenges. Temptation lurks at every turn, and Clare has to decide if Eric is the one who deserves not just her body but her heart.
Misadventures is a romantic series of spicy standalone novels, each written or co-written by some of the best names in romance. The stories are scandalous, refreshing, and, of course, incredibly sexy. They’re the perfect bedside read, a ‘quick blush’ for the reader who loves a page-turning romance.
In 2038, the human race is in a death spiral, and most people do not even know it yet. Technology that was supposed to make us better and stronger instead is birthing a strange and terrible plague we may not be able to stop. When the young daughter of Josh Scribner, a wealthy tech entrepreneur, starts to succumb to the illness, he dedicates his fortune in a desperate effort to save her life. Working with a friend & celebrated physicist, Josh develops the ability to send objects back through time. Their goal to recruit an agent in the past who might change our fatal path.
In our present day, a broken and traumatized Air Force veteran finds a strange message in the woods, drawing her into an adventure spanning decades. All humanity is at stake, as she and her small group of friends become the unlikely heroes taking up the secret fight against our future doom.
MF Thomas and Nicholas Thurkettle, authors of the acclaimed sci-fi thriller Seeing by Moonlight, are back with this time-twisting adventure that asks if our own destiny can be healed.
This book is for Java developers with basic Java programming knowledge. No previous knowledge of neural networks is required as this book covers the concepts from scratch.What You Will LearnGet to grips with the basics of neural networks and what they are used forDevelop neural networks using hands-on examplesExplore and code the most widely-used learning algorithms to make your neural network learn from most types of dataDiscover the power of neural network's unsupervised learning process to extract the intrinsic knowledge hidden behind the dataApply the code generated in practical examples, including weather forecasting and pattern recognitionUnderstand how to make the best choice of learning parameters to ensure you have a more effective applicationSelect and split data sets into training, test, and validation, and explore validation strategiesDiscover how to improve and optimize your neural networkIn Detail
Vast quantities of data are produced every second. In this context, neural networks become a powerful technique to extract useful knowledge from large amounts of raw, seemingly unrelated data. One of the most preferred languages for neural network programming is Java as it is easier to write code using it, and most of the most popular neural network packages around already exist for Java. This makes it a versatile programming language for neural networks.
This book gives you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java.
You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using the concepts you've learned. Furthermore, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.
All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience.Style and approach
This book adopts a step-by-step approach to neural network development and provides many hands-on examples using Java programming. Each neural network concept is explored through real-world problems and is delivered in an easy-to-comprehend manner.