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Introduction to Deep Learning
This book is 100% completeLast updated on 2024-08-31
Unlock the potential of AI with "Introduction to Deep Learning," a bilingual guide in English and Myanmar. Dive into neural networks, CNNs, RNNs, and AI trends with hands-on Python code and real-world case studies. Perfect for learners at all levels, this book makes mastering deep learning accessible and engaging.
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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.
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About the Author
myothida
Dr. Myo is passionate about empowering youth, teaching, and conducting research that creates impact. She is an Assistant Professor of Computer Science at Bard College at Simon's Rock, USA. Previously, she was a tenure-track faculty member in the Computer Engineering Department at Chiang Mai University, co-founded a company providing data analysis services, and worked as a freelance consultant on educational reform projects. Earlier in her career, she was a research engineer and scientist at A*STAR and earned a Ph.D. in Computer Vision from 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.
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