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About the Book
"Introduction to Deep Learning" is a bilingual guide created to make AI concepts accessible to a diverse audience. Written in English and Myanmar, it bridges the gap for learners facing language barriers and limited resources.
It covers foundational neural networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and advanced topics like Transformers and Generative AI. Each chapter blends theory with practical application, emphasizing hands-on learning through Python code snippets and real-world case studies on image classification, time series prediction, and sentiment analysis.
This book aims to support learners at various levels, providing practical insights and resources, including a website and public GitHub repository. "Introduction to Deep Learning" is designed to help readers from different backgrounds gain a solid understanding of AI.
About the Author
Dr. Myo is passionate about empowering the youth, teaching, and working on research that leads to impact. She currently teaches in Chiang Mai University‘s Computer Engineering Department, co-founded a company that provides data analysis services, and spent a few years as a freelance consultant in educational reform projects. In her earlier career, she worked as a research engineer & scientist at A*STAR and completed a Ph.D. in Computer Vision at Kingston University. Originally from Myanmar, she studied in Singapore and London, worked in Singapore, Myanmar, and Bhutan and is now based in Thailand. She loves books, cycling, and traveling.