Mark Twain's Letters

Lives of the Twelve Caesars

The Writings of Abraham Lincoln: All 7 Volumes in a Single File

The Black Tulip

The Wonders of the Invisible World

Just David

The Magic Egg and Other Stories

Narrative of the Life of Frederick Douglass

At the Foot of the Rainbow

Implement popular deep learning techniques to make your IoT applications smarter Key Features ?Understand how deep learning facilitates fast and accurate analytics in IoT ?Build intelligent voice and speech recognition apps in TensorFlow and Chainer ?Analyze IoT data for making automated decisions and efficient predictions Book Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making. What you will learn ?Get acquainted with different neural network architectures and their suitability in IoT ?Understand how deep learning can improve the predictive power in your IoT solutions ?Capture and process streaming data for predictive maintenance ?Select optimal frameworks for image recognition and indoor localization ?Analyze voice data for speech recognition in IoT applications ?Develop deep learning-based IoT solutions for healthcare ?Enhance security in your IoT solutions ?Visualize analyzed data to uncover insights and perform accurate predictions Who this book is for If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book. Table of Contents 1.End-to-End Life Cycle of IoT 2.Deep Learning Architectures for IoT 3.Image Recognition in IoT 4.Audio/Speech/Voice Recognition in IoT 5.Indoor localization in IoT 6.Physiological and Psychological State Detection in IoT 7.Security and privacy for IoT 8.Predictive Maintenance for IoT 9.Deep learning in Healthcare IoT 10.What’s next: Wrapping Up and Future Directions

The Twenty-Fourth of June

The Second Violin

Ramona

Ghosts, Girls, & Other Phantasms

Commentary on the Laws of England. Book the First

Psychological Methods That Could Help You to Change Your Life!

Many ages ago in North America there was no spring or summer or autumn, but only winter all the time; there were no forests or fields or flowers, but only ice and snow, which stretched from the Arctic Ocean to Maryland. Sometimes the climate would grow a little warmer, and then the great glaciers would shrink toward the north, and then again it would grow cold, while the ice crept southward; but finally it became warmer and warmer until all the southern part of the country was quite free from the ice and snow, which could then only be seen, as it is now, in the Polar regions.??Ages and ages after this, grass and trees began to ap-pear, and at last great forests covered the land, and over the fields and through the woods gigantic animals roved—strange and terrible-looking beasts, larger than any animal now living, and very fierce and strong. Among these were the mammoth and mastodon, which were so strong and ferocious that it would take hundreds of men to hunt and kill them. These great animals would go trampling through the forests, breaking down the trees and crushing the grass and flowers under their feet, or rush over the fields in pursuit of their prey, making such dreadful, threatening noises that all the other animals would flee before them, just as now the more timid animals flee from the lion or rhinoceros. ??Sometimes they would rush or be driven by men into swamps and marshes, where their great weight would sink them down so deep into the mud that they could not lift themselves out again, and then, they would die of starvation or be killed by the arrows of the men who were hunting them.??Besides these mammoths and mastodons there were other animals living in North America at that time, very different from those that are found here now. ?

"The Shunned House" is a horror fiction novelette by American author H. P. Lovecraft, written on October 16–19, 1924. It was first published in the October 1937 issue of Weird Tales. The Shunned House of the title is based on an actual house in Providence, Rhode Island, built around 1763 and still standing at 135 Benefit Street. Lovecraft was familiar with the house because his aunt Lillian Clark lived there in 1919-20 as a companion to Mrs. H. C. Babbit. However, it was another house in Elizabeth, New Jersey that actually compelled Lovecraft to write the story.

So long a time had passed that Dorothy C. had grown to be what father John called "a baker's dozen of years old"; and upon another spring morning, as fair as that when she first came to them, the girl was out upon the marble steps, scrubbing away most vigorously. The task was known locally as "doing her front," and if one wishes to be considerable respectable, in Baltimore, one's "front" must be done every day. On Saturdays the entire marble facing of the basement must also be polished; but "pernickity" Mrs. Chester was known to her neighbors as such a forehanded housekeeper that she had her Saturday's work done on Friday, if this were possible.??Now this was Friday and chanced to be a school holiday; so Dorothy had been set to the week-end task, which she hated; and therefore she put all the more energy into it, the sooner to have done with it, meanwhile singing at the top of her voice. Then, when the postman came round the corner of the block, she paused in her singing to stare at him for one brief instant. The next she had pitched her voice a few notes higher still, and it was her song that greeted her father's ears and set him smiling in his old familiar fashion. ??Unfortunately, he had not been smiling when she first perceived him and there had been a little catch in her tones as she resumed her song. Each was trying to deceive the other and each pretending that nothing of the sort was happening.??"Heigho, my child! At it again, giving the steps a more tombstone effect? Well, since it's the fashion—go ahead!"??"I wish the man, or men, who first thought of putting scrubby-steps before people's houses had them all to clean himself! Hateful old thing!"

A lone traveler seeks shelter from an approaching storm in an apparently abandoned house, only to find that it is occupied by a "loathsome old, white-bearded, and ragged man."

Gerek aklara gerek insanlara yazmtm iirlerimi... Bana pis bir ucubeymiim gibi davranan ucubeye... nsan hi ucubeye iir yazar m demeyin! Benimki gerek bir ak hikayesiydi... yle sandm...Küüktüm.... Aldandm... Hani bize hep anlatlan kurbaa prens hikayesi var ya; Ben hep kurbaann prens olacan düünmütüm, ama nereden bilebilirdim prensimin kurbaa kacan... Kurbaamn da yok olacan... Bu kitabm benim gibi kurbaay prens zanneden gen kzlara, incinmi aldatlm tüm kadnlara, terk edilmi aklara ve ak ararken insann nasl ac ektiini, her eyini kaybetmiliini anlamak isteyen ak hrszlarna gelsin... ve tüm iir dostlarna.... Ben küük bir kzdm, ok incindim... Lütfen siz incinmeyin ve sizi kimsenin incitmesine izin vermeyin... UCUBEYE... Bugün tam on iki sene oldu gidiinin ardndan.. Uzun uzun yolunu gzleyiimle, hala bana bunu nasl yapt deyiimle geen on iki sene... On iki senedir hi grmedim seni... Belki yüzünü bile unuttum; zaten sesini hi hatrlamyorum. Karma ksan tanmam bile. Sadece benden aldn ak, güven, huzur, mutluluk duygularn bulmaya alyorum. Yalnzlm iimde gibi büyürken braktn korkularla adm atmaya ekindim her ak araymda... Ve yllarca yazdm sen bilmesen de sana...