Born in Virginia in 1826, Nelson ran away from home as a young teenager to escape a domineering father and to seek adventure in the west. He took odd jobs along with way working on farms, serving as a cabin boy on a Mississippi steamer, and becoming an apprentice with a group of traders traveling west from Missouri. After meeting a band of Sioux, he decided that the nomadic life of an Indian was the adventure he was looking for and got himself adopted into the tribe. Here he learned how to live off the land and acquired the skills of a Sioux warrior. His adopted father was the Chief Spotted Tail and his brother-in-law was Red Cloud—Chief of the Sioux Nation. As a young Sioux brave, Nelson participated in Indian raids and skirmishes. Later, he guided Brigham Young and the first group of Mormon pioneers into the Salt Lake Valley in 1847, worked as a military scout with William F. Cody (Buffalo Bill), fought in the Indian Wars, and served as a lawman in North Dakota. In his many escapades he often narrowly escaped death from bullets, arrows, and knives. Nelson’s story is a fascinating view of the early American west in all its glory. This pre-1923 publication has been converted from its original format for the Kindle and may contain an occasional defect from the original publication or from the conversion.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    This book fills the gaps left by others.The late Master Masatoshi Nakayama, chief instructor of the Japan Karate Association, left this book as a testament. It reveals his great experience as a karate competitor and teacher, describing and illustrating in detail all the correct movements involved in the particular block, punch, or kick you want to perfect, as well as instructions--on combining blocking techniques with decisive counterattacks. Also included is a glossary of all Japanese karate terms and a guide to their pronunciation.Because of the lightning speed of karate techniques, normal camera work often fails to record the action accurately. For this reason, many of the photo sequences found in Dynamic Karate were taken using a stroboscope with a flash time of 1/10,000 of a second, enabling you to follow each movement as it is actually performed.

    Henry's search takes him to Virginia City and all over the mining centers of southwest Montana. Eventually it leads him to Nevada. On the trip he finds love and romance and adopts a little boy that he learns to love. His journey is full of outlaws and crooked lawmen and politicians. Another classic western from the pen of R. O. Lane

    It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems.The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming, and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading, and exceptions are provided in the book.

    Learn how to make a 5-cent wedding band, leather iPod case, and paracord bullwhip!

    It takes a truly objects first approach to teaching problem solving using Java. These are complicated concepts so the book uses the development environment BlueJ to help the student's understanding. BlueJ has a strong emphasis on visualization and interaction techniques, and allows the students to manipulate objects and call methods as a first exercise. BlueJ is free and freely available, and has been developed specifically for teaching. The book is loaded with projects so that the student can really get a grip on actually solving problems; and it takes a spiral approach , introducing a topic in a simple context early on, then revisiting it later in the book to deepen understanding. It also comes with a CD containing JDK, BlueJ, a BlueJ tutorial and code for all the projects. The website contains style guide for all examples, PowerPoints for lecturers and also a Solutions Manual.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    This book is not a novel, but a true history of the noted perrson whose name is given above; and although it is not a work of fiction we can safely say that with scenes of thrilling interest, daring exploits and adventures, it can vie with the most sensational novel. The history begins immedciately prior to the breaking out of the Revolutionary War, when the Foster family were living near Hinsdale, N. H. The first part of the book is taken up with the history of the father of the hero of the story, giving an account of his enlistment in the American army, the part he took in the battle of Bunker Hill, and his numerous and daring exploits throughout the whole of the war. When Mr. Foster went to the war his family consisted of his wife, two sons armd a daughter. Nat was the younger son, being nine years old when his father joined the army; but he early learned the skillful use of the rifle, and as deer, moose and other game abounded in the Adirondacks at that time, he did much toward the support of the family during his father’s absence, who when the war was over returned to his home broken down in health, having expended his strength and health in aiding to achieve the independence of his country. To follow Nat Foster from this time to the close of his life in old age, in his wonderful adventures with Indians and daring exploits with wild beasts, would farr exceed the limits of a book notice. One must read the book itself; and whoever begins to read it will not be apt to lay it aside for lack of interest. This book originally published by The Willard Press, in 1912 has been reformatted for the Kindle and may contain an occasional defect from the original publication or from the reformatting.

    

    

    That unmistakable urge was already growing inside of Mike Krabal when he received advice from a wise soul of eighty-one years to "get out more." In October 2011, he traded his life in a small West Virginia town for 132 days on America's open road. Through vivid observation, he tells of hair-raising run-ins with wild animals, wild people, and the wicked Hangover Fairy. Youthful curiosity charts the course, and his trusty motorcycle, the Goose, hauls the gear. From the Atlantic to the Pacific, exotic landscapes, fresh mornings in unfamiliar towns, and more than 17,000 miles pass. No detail is left behind in this friendly, funny, and mischievous story of discovery away from home. (black and white ebook) *Update 2/23/2016: I've just released 132 Days A journey A journal and some Whiskey COLOR PHOTO EDITION. It features over 900 color photos to best capture the essence of a coast-to-coast American adventure, and it's now available on Amazon.com. Here's the link - http://www.amazon.com/gp/product/B01B...-

    Little did he know that the job that only he could do would end up having him looking after thousands of uploaded minds for what would amount to more than 10,000 years. Earth is one step away from a nuclear war, and Paradigm Alpha’s solution to saving what they can of humanity is to upload their brains to The Doomsday System. But while most of the minds would be stored while they sleep, Jeff doesn’t have that option. As the only one who can seem to be uploaded digitally and remain awake, he will be kept alive, as it were, in order to help humanity 10,000 years from now. However, thanks to time compression in the system, it will only be 1,000 years for him. Can Jeff survive mentally for that long? That is where The Doomsday System’s game might help. Join Jeff as he explores this unknown world from one end to the other for the next thousand years. However, there is one tiny little issue. The class the AIs gave him, Battlemage, which sounded so awesome at the time, is broken. He is a Battlemage who can’t seem to use magic as a normal Battlemage. This is safe for teens as there is no sex and no extreme swearing.