Hands-On Deep Learning: A Guide to Deep Learning with Projects and Applications
暫譯: 實作深度學習：專案與應用的深度學習指南

Harsh Bhasin is a researcher and practitioner. He has completed his PhD in Diagnosis and Conversion Prediction of Mild Cognitive Impairment Using Machine Learning from Jawaharlal Nehru University, New Delhi. He worked as a Deep Learning consultant for various firms and taught at various Universities, including Jamia Hamdard, and DTU. He is currently associated with Bennett University.

Harsh has authored 11 books, including Programming in C# and Algorithms. He has authored more than 40 papers that have been published in international conferences and renowned journals, including Alzheimer's and Dementia, Soft Computing, Springer, BMC Medical Informatics & Decision Making, AI & Society, etc. He is the reviewer of a few renowned journals and has been the editor of a few special issues. He has been a recipient of Visvesvaraya Fellowship, Ministry of Electronics and Information Technology.

His areas of expertise include Deep Learning, Algorithms and Medical Imaging. Apart from his professional endeavours, he is deeply interested in Hindi Poetry: the progressive era and Hindustani Classical Music: percussion instruments.

哈希·巴辛是一位研究者和實踐者。他在新德里的賈瓦哈拉爾·尼赫魯大學完成了使用機器學習進行輕度認知障礙診斷和轉換預測的博士學位。他曾擔任多家公司的深度學習顧問，並在多所大學教授，包括賈米亞·哈姆達德大學和德里科技大學（DTU）。他目前與班尼特大學有關聯。

哈希著有11本書籍，包括C#程式設計和演算法。他發表了超過40篇論文，這些論文已在國際會議和知名期刊上發表，包括《阿茲海默症與癡呆症》、《軟計算》、《施普林格》、《BMC醫療資訊與決策制定》、《人工智慧與社會》等。他是幾本知名期刊的審稿人，並曾擔任幾個特刊的編輯。他曾獲得電子與資訊技術部的維斯維薩拉亞獎學金。

他的專業領域包括深度學習、演算法和醫學影像。除了專業工作外，他對印地語詩歌（進步時代）和印度古典音樂（打擊樂器）有著濃厚的興趣。