Master Computer Vision
Master Computer Vision with Python and Deep Learning. This course is for anyone who wants to learn Computer Vision techniques on Image and Video Datasets. In this course we will cover various fundamental concepts in computer vision from scratch and then move ahead towards building real-world applications using OpenCV 4, Tensorflow and Keras.
This course is designed for engineers and data scientists who want to build a Computer Vision (CV) application using the world’s most popular framework – OpenCV4 in Python. It also covers the fundamentals of Deep Learning for CV with TensorFlow and PyTorch, which are today’s hottest techniques used by top companies across the globe. The goal of this course is to make you a stronger CV practitioner that knows how to build deep learning models from scratch, including its architecture, hyperparameters selection and pre-processing technique; how to improve your top models performance with transfer learning methods; how to deploy your model into production using tools like IBM Watson, AWS SageMaker or Google Cloud Vision; with zero coding knowledge required!
You will learn how to use OpenCV4 in Python to develop applications related to multimedia, including movie processing, augmented reality, facial recognition and tracking, image segmentation and analysis. Alongside the basics you will also be introduced to deep learning methods for image classification as well as object detection.
In this course, you will learn how to use OpenCV and Deep Learning to do Computer Vision tasks. You will start with the basic concepts of Computer Vision and then how to use OpenCV’s core classes and functions. You will then see how we can make applications by combining different codes together. In the final section, you will learn how to train machine learning models with real-world datasets and understand what are convolutional neural networks (CNNs).
Get an in-depth understanding of Computer Vision and Machine Learning. This course will take you from novice to master in understanding these technologies, and provide you with the knowledge and skills to implement them.
Master Computer Vision™ with OpenCV4 in Python. Learn to detect, track and recognize objects using deep learning techniques.
This course is a comprehensive guide to learning Computer Vision™ with OpenCV 4.1 in Python. The course explains how to install and configure OpenCV, how to write incredible Computer Vision algorithms and also provides you with skills in applying different deep learning models to build amazing applications.
This course will teach you Computer Vision (CV) concepts in Python and OpenCV 4. You’ll learn how to write your own machine learning models, build programs that can see like humans and use them to process images. This is the second part of a three part course. The first course is a free introduction to CV.
You will learn how to use OpenCV, the most comprehensive library of computer vision algorithms available today. You’ll master concepts like: Installing on Windows, Mac and Linux Laying the groundwork in OpenCV Basics of Python and Computer Vision Deep Learning tools in OpenCV Motivation for Machine Learning Models in Computer Vision Applications in Computer Vision
Computer vision is one of the most exciting and rewarding fields in deep learning – but it’s also one of the most challenging. To master it, you need to have a solid understanding of the algorithms and applications behind it. And a strong technical foundation. This course teaches you both!
Computer vision is transforming our world. The ability to see and understand the visual world is of fundamental importance in areas ranging from medicine to robotics, security and more. If you’re interested in computer vision, more specifically the development of intelligent systems that can “see,” this course is for you.
Master Computer Vision™ OpenCV4 in Python with Deep Learning. This course is an In-depth comprehensive course on Mastering Computer Vision in Python with OpenCV4, covering all necessary topics for a fully functional beginner’s program.
Master Computer Vision™ with the most advanced and powerful OpenCV4 library in Python. OpenCV 4.1 is used by more than 100 million developers, and it is packed with fun exercises that will help you master the computer vision field. You also get a comprehensive introduction to deep learning using OTB (Open Toolkit Library), which is a cross-platform library that allows any programmer to build complex algorithms without worrying about data types or architecture.
The course will teach you how to get started with OpenCV, how it works, how you can use it to solve real world problems and build amazing applications. We will be using Python 3 and Deep Learning as examples in the course.
This course will teach you all the fundamentals of Computer Vision to build your own computer vision applications. You will start your journey by learning the basics of image processing and computer vision, with Python programming language. The topics covered in this course include facial detection, object detection and recognition using OpenCV library. This approach to learning significantly reduces your time and effort to become a professional in Computer Vision with Python!
Learn how to use computer vision, deep learning and OpenCV in Python. The course is designed for those who have no experience with the nitty gritty of machine learning and computer vision.
Let’s learn Computer Vision using OpenCV and Python with Deep Learning Models! Learn how to use machine learning techniques in Computer Vision. Build your own Computer Vision applications with OpenCV deep learning models like YOLO, ResNet and MobileNets.
Master Computer Vision™ OpenCV4 in Python with Deep Learning by Rajeev D. Ratan – An Udemy Top Seller. Develop a strong foundation of image processing and computer vision by learning to use OpenCV4 in python to solve real world problems. This course covers all the areas of interest for you to master CV and build fascinating projects that can change the face of technology for the better!
Master Computer Vision™ OpenCV4 in Python with Deep Learning by Rajeev D. Ratan is an all-inclusive course that covers the entire field of Computer Vision and aims to be a comprehensive guide on building real-life applications with OpenCV.
Master Computer Vision™ OpenCV4 in Python with Deep Learning
Learn to design
Learn to design a computer vision system from scratch in Python using OpenCV4. In this course, Ultimate Master of Computer Vision and Deep Learning, Rajeev D. Ratan will show you how to develop your own computer vision applications and get started with deep learning in OpenCV 4
Master Computer Vision & OpenCV 4.x in Python with Deep Learning. This course will make you able to build your own face recognition application like Snapchat, Facebook and Google just in a few hours!
In this computer vision and deep learning course, you will learn how to use OpenCV 4.0.0 and Python 3.6 to develop real-world applications in image and video processing, image recognition, and face detection using deep neural networks (DNN).
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