Easy CNN & COMPUTER VISION For Everyone

This book is for anyone who wants to explore the field of Computer Vision, especially those who feel they lack a strong theoretical background in deep learning or image processing. We have been on the same journey as you—we understand the excitement, confusion, and technical challenges you may be facing. This book is designed to make your learning journey smoother, more structured, and truly enjoyable. We genuinely believe that with the guidance provided in this book, everyone can develop and implement powerful Computer Vision models—no matter their starting point! In addition to simplifying the foundations, we highlight recent trends, such as multimodal learning—where vision is combined with text, audio, or tabular data—and the importance of staying current with cutting-edge architectures like YOLOv12, which was released just a month ago. The book begins with a brief overview of core concepts in Convolutional Neural Networks (CNNs) and Computer Vision, followed by step-by-step Python implementations using Jupyter Notebooks. All notebooks are organised in folders matching the chapter numbers, and each notebook is accompanied by detailed explanations under the relevant code blocks. You can access all materials via QR codes on the next page, which link directly to our GitHub repository and companion website.