Download Free Show Strides Vol 1 Book in PDF and EPUB Free Download. You can read online Show Strides Vol 1 and write the review.

Step into the captivating world of Show Strides, where two young horseback riders, Tally and Mac, learn important lessons at their stable: Quince Oaks. This series is a fresh and modern take on equestrian stories. The characters are modern, real, and grounded, navigating age-relatable issues of making new friends, waxing and waning confidence, family struggles, and discovering who they are. Show Strides introduces readers to characters who mirror their passion for horses and the challenges that come along with the sport. Show Strides is a middle-grade series that immerses readers in the thrilling world of riding, horsemanship, and the special connections formed with animal friends and fellow horse enthusiasts. Tally, a diligent working student, is working on refining her riding skills with the stable's school horses when she meets Mac, a new girl with big dreams who is pushing herself to improve alongside her trusty pony. As Tally tries to work hard to impress the new coach and prove she can take things to the next level, Mac prepares for more professional shows. Together, with their new trainer, they'll work toward their own goals, these girls will learn more about each other, themselves, and what it takes to chase their dreams and work for them, too. Join Tally, Mac, and the rest of their friends as they navigate the exciting world of equestrian competition! Unique paths converge, forming heartwarming friendships among riders and among riders and their horses.
Step into the captivating world of Show Strides, where two young horseback riders, Tally and Mac, learn important lessons at their stable: Quince Oaks. This series is a fresh and modern take on equestrian stories. The characters are modern, real, and grounded, navigating age-relatable issues of making new friends, waxing and waning confidence, family struggles, and discovering who they are. Show Strides introduces readers to characters who mirror their passion for horses and the challenges that come along with the sport. Mac Bennett, is carving her path in the medium pony hunter division. With determination and hard work, she's setting her sights on an extraordinary show goal that will test her limits. Can Mac defy expectations and achieve her goal? Will Tally continue riding sales ponies, or will she return to lessons on the barn's school horses? The anticipation is palpable as Tally and Mac grapple with uncertainty. In this next chapter of their stories, the two new friends, along with the rest of the Quince Oaks crew, will navigate the twists and turns of their equestrian aspirations, weaving a tale of friendship, determination, and the pursuit of their dreams. Join Tally, Mac, and the rest of their friends as they navigate the exciting world of equestrian competition! Unique paths converge, forming heartwarming friendships among riders and among riders and their horses.
The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms. The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing. The concept of generative networks is also presented and focuses on GANs as a tool to improve the performance of existing algorithms. In summary, this book provides a comprehensive technological path from fundamental theories to the categorization of existing algorithms, covers state-of-the-art, practical evaluation tools and methods to empower you to use synthetic data to improve the performance of applications.
This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.
The Show Me Series Boxed Set: Volume 1 (Books 1-3) Book 1: Life’s Second Chances: Angelina Samuels has lost the only job she’s ever held. A last minute interview lands her a new teaching job just days before the school year is about to begin. It turns out to be the best thing that could have happened when she realizes that her best friend from college, Gabriella Alvarez, is also a member of the teaching staff. Gabriella’s brother, Alejandro, relocates to his hometown after having lived away from family and friends since he left for college to become a renowned transplant surgeon. He’s settling into a new job, reacquainting himself with family and friends, and is learning to deal ever-so-slowly with the personal loss that forever changed his life. When Angelina’s sister experiences a health crisis, Alejandro is there to support her and her family. And when Angelina herself experiences a personal tragedy, Alejandro is the only one to guide her through it. As love stares down at them, can Angelina help Alejandro take that second chance on love and marriage? Book 2: Life’s Gateway to Happiness: Kelly Samuels is dedicated to her career and has received several promotions in her short tenure at Lattice Works. Kelly’s family is shocked when she returns home unemployed and without an explanation. Alec Alvarez, a pediatrician from a family full of doctors, is focused solely on his career. He’s declared his bachelor status for life and has no desire for love, marriage, or babies. When Alec finds Kelly stuck on the side of a snowy road, neither of them are prepared for the feelings they begin to have for one another. As Kelly and Alec grow closer, he wants to know why the once happy-go-lucky Kelly is hesitant to his touch, while Kelly just wants to find purpose to her life again. After Kelly tells two conflicting stories as to why she lost her job, Alec steps in to discover what truly happened. Can Kelly come to terms with what happened to her and move on with her life? And can Alec love enough to give-up his bachelorhood status for good? Book 3: Life’s Turned Upside Down: Gabriella Alvarez is the youngest of the Alvarez family. She’s watched her best friend marry her brother and another brother find love. Deep down, she’s looking for love, but she can’t quite shake the college sweetheart that broke her heart. Dr. Ashton Holder works for the famous Alvarez practice. He and Gabriella have always clashed—she continues to see him only has the rough-edged doctor with no bedside manner, but he’s really made strides to put this image behind him. When Gabriella discovers a secret from Ashton’s past, though, she does her best to help him uncover something that will change his life forever, but a misunderstanding between them rocks him to the core. When he finally uncovers the secret, he must learn to put his past aside and try and move on with a future willed with hope and dreams.
In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance
During the same period in which Derek Walcott was pouring immense physical, emotional, and logistical resources into the foundation of a viable first-rate West Indian theatre company and continuing to write his inimitable poetry, he was also busy writing newspaper reviews, chiefly for the Trinidad Guardian. His prodigious reviewing activity extended far beyond those areas with which one might most readily associate his interests and convic¬tions. As Gordon Rohlehr once prescient¬ly observed, “If one wants to see a quoti¬dian workaday Walcott, one should go back to [his] well over five hundred arti¬cles, essays and reviews on painting, cinema, calypso, carnival, drama and lite¬rature,” articles which “reveal a rich, vari¬ous, witty and scrupulous intelligence in which generous humour counterpoints acerbity.” These articles capture the vital¬ity of Caribbean culture and shed addi-tional light on the aesthetic preoccupa¬tions expressed in Walcott’s essays pub¬lished in journals. The editors have exam¬ined the corpus of Walcott’s journalistic activity from its beginnings in 1950 to its peak in the early 1970s, and have made a generous selection of material from the Guardian, along with occasional pieces from such sources as Public Opinion (Kingston) and The Voice of St. Lucia (Castries). The articles in Volume 1 are organized as follows: Caribbean society, culture, and the arts generally; literature and society; periodicals; anglophone poe¬try, prose fiction, and non-fiction; African and other literatures; and the visual arts (Caribbean and beyond). The volume closes with a selection of Walcott’s mis¬cellaneous satirical essays. The volume editor Gordon Collier has written a search¬ing introductory essay on a central theme – here, a critical, comparative analysis of Walcott’s development as journalist against the historical background of press activity in the Caribbean, coupled with an illustrative discussion (drawing on Wal¬cott’s newspaper articles) of his attitudes towards prose fiction and poetry.
This volume presents the proceedings of the Brazilian Congress on Biomedical Engineering (CBEB 2018). The conference was organised by the Brazilian Society on Biomedical Engineering (SBEB) and held in Armação de Buzios, Rio de Janeiro, Brazil from 21-25 October, 2018. Topics of the proceedings include these 11 tracks: • Bioengineering • Biomaterials, Tissue Engineering and Artificial Organs • Biomechanics and Rehabilitation • Biomedical Devices and Instrumentation • Biomedical Robotics, Assistive Technologies and Health Informatics • Clinical Engineering and Health Technology Assessment • Metrology, Standardization, Testing and Quality in Health • Biomedical Signal and Image Processing • Neural Engineering • Special Topics • Systems and Technologies for Therapy and Diagnosis
Master Computer Vision concepts using Deep Learning with easy-to-follow steps DESCRIPTIONÊ This book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons. To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. You will learn how CNN is different from a multi-layer perceptron along with a thorough discussion on the different building blocks of the CNN architecture such as kernel size, stride, padding, and pooling and finally learn how to build a small CNN model.Ê Next, you will learn about different popular CNN architectures such as AlexNet, VGGNet, Inception, and ResNets along with different object detection algorithms such as RCNN, SSD, and YOLO. The book concludes with a chapter on sequential models where you will learn about RNN, GRU, and LSTMs and their architectures and understand their applications in machine translation, image/video captioning and video classification. KEY FEATURESÊ Setting up the Python and TensorFlow environment Learn core Tensorflow concepts with the latest TF version 2.0 Learn Deep Learning for computer vision applicationsÊ Understand different computer vision concepts and use-cases Understand different state-of-the-art CNN architecturesÊ Build deep neural networks with transfer Learning using features from pre-trained CNN models Apply computer vision concepts with easy-to-follow code in Jupyter Notebook WHAT WILL YOU LEARNÊ This book will help the readers to understand and apply the latest Deep Learning technologies to different interesting computer vision applications without any prior domain knowledge of image processing. Thus, helping the users to acquire new skills specific to Computer Vision and Deep Learning and build solutions to real-life problems such as Image Classification and Object Detection. This book will serve as a basic guide for all the beginners to master Deep Learning and Computer Vision with lucid and intuitive explanations using basic mathematical concepts. It also explores these concepts with popular the deep learning framework TensorFlow. WHO THIS BOOK IS FOR This book is for all the Data Science enthusiasts and practitioners who intend to learn and master Computer Vision concepts and their applications using Deep Learning. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book.Ê Table of Contents 1. Introduction to TensorFlow 2. Introduction to Neural NetworksÊ 3. Convolutional Neural NetworkÊÊ 4. CNN Architectures 5. Sequential Models