[{"_1":2,"_64":-5,"_65":-5},"loaderData",{"_3":4,"_33":34,"_62":-5,"_63":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_20":-5,"_21":22,"_23":24,"_27":28},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":12},"count",0,"free",true,"updatedAt","2026-01-08T16:24:12.714Z","paymentGateway","STRIPE","cartItems",[],"loading","toast","locale","en","constants",{"_25":26},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_29":30,"_31":32},"companies",[],"universities",[],"routes/_store+/_readers+/email_author.$slug/route",{"_35":36,"_61":-5},"book",{"_37":38,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNTAxNzA","title","Zefs Guide to Computer Vision","state","unpublished","contactAuthorMethod","email","aboutText","

Zefs Guide to Computer Vision is a short guide to the most important concepts in modern computer vision. Computer vision is one of the most important parts of the current artificial intelligence revolution. Deep neural networks have allowed computers to approach or even exceed humans in many vision based tasks. This book covers the foundational concepts of computer vision, state of the art neural network-based techniques, and the most important applications of computer vision in an easy to understand way. All in less than a 100 pages!

Zefs Guide to Computer Vision is part the Zefs Guides series on deep learning and its applications. It builds on the concepts in the first book, Zefs Guide to Deep Learning. The other books in the series are:

Zefs Guide to Deep Learning
Zefs Guide to Natural Language Processing
Zefs Guide to Transformers

Zefs Guides are designed to help the beginner quickly get up to speed on topics in machine learning and data science and to help the experienced practitioner push their conceptual understanding even further. They are short and to the point, covering the most important topics and concepts. They're for you if you are a job seeker looking for a role in ML/AI/DS, a student studying for exams, an experienced data person dusting off your old knowledge, or an executive seeking a better understanding of some of today's most important technologies.

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