This is the repository for Ultimate Tailwind CSS Handbook, published by Orange AVA™
This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets.
Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models.
By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications.
Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python.
● Acquire a solid understanding of website structures and layouts for web development.
● Explore the concepts and principles of Tailwind CSS to harness its full potential.
● Leverage Tailwind CSS’s utility-first approach for you web design.
● Develop a fully responsive website from scratch using Tailwind CSS.
● Create stunning and functional web interfaces using Tailwind CSS.