Learn Shona With Images

The book "Learn Shona with Images" is an illustrated dictionary that helps you to memorize the vocabulary of the Shona language. The words are organized by topic to make learning easier. The topics cover most aspects of daily life. A section of the book is devoted to verbs in the Shona language. Each word in English/French has its translation in Shona language with an image to better understand and memorize vocabulary. This book is easy to use and will be useful to all Shona language learners. This book is part of the required books program of the Harare School of Shona, the Shona language online learning school. www.harareschool.com

Did you ever want to teach your kids the basics of Shona ? Learning Shona can be fun with this picture book. In this book you will find the following features: Shona Alphabets. Shona Words. English Translations.

Learn Shona is an ideal short introductory course for English speakers learning Shona. Does your family speak Shona but you do not? Are you a Shona-speaking parent but you do not have structured material to teach Shona to your English-speaking children? Are you visiting Zimbabwe and would like to learn Shona? Do your friends speak Shona but you do not? Are you a non-Shona speaker living or working in Zimbabwe wanting to learn Shona in a structured way? If you answered yes to any of the above questions then this is the right book for you. The book assumes no prior knowledge of Shona and will help you master the basics. The book has simple rules to help you learn Shona without learning complex grammar rules. To help you practise, there are practice questions at the end of the chapter and answers at the end of the book. On completing the course you will be able to do the following: greet and introduce people; understand basic expressions; build simple sentences; ask questions; express your emotions; and count in Shona. The book also provide some insights into Shona culture. The book also has reference material to access when needed.

This book provides a range of insights into pupils' learning relevant to the use of information and communications technology (ICT) in primary science. The contributors, who are all experts in their field, draw on practical and theoretical perspectives and: Provide specific examples of software and hardware use in the classroom Consider innovative and creative uses of technology for pupils engaged in science activity in the primary and early years Indicate future possibilities for the use of computer-based technologies Key themes running through the book include: setting the use of ICT in primary science within theoretical perspectives on learning and on pedagogy; the importance of using ICT in developing talking and listening opportunities in the science classroom; and the potential of learning through ICT enhanced science investigations. Contemporary issues such as inclusion, creativity and collaborative learning are also examined, making Teaching and Learning Primary Science with ICT essential reading for students in science education, and for teachers who want to use new technology to improve learning in their science classrooms.

A fun, informative and interactive Shona beginner's book. The reader will hear recorded Shona and English words and phrases on the push of the associated image, which provides an effective way to learn pronunciations of Shona; English too. The sound function is on one side of the page, so the other side has a rich collection of Zimbabwe facts and information like the provincial map and national anthem. In addition, there are short songs to enjoy while learning the Shona language and finding out about Zimbabwe.

This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3. The book also addresses the difficulty of implementing deep learning in terms of computation time and the complexity of reasoning and modelling different types of data where information is currently encoded. Each chapter has the application of various new or existing deep learning models such as Deep Neural Network (DNN) and Deep Convolutional Neural Networks (DCNN). The detailed utilization of deep learning packages that are available in MATLAB, Python and R programming environments have also been discussed, therefore, the readers will get to know about the practical implementation of deep learning as well. The content of this book is presented in a simple and lucid style for professionals, nonprofessionals, scientists, and students interested in the research area of deep learning applications in image analysis.