If you are looking to become a pro at Deep Learning Computer Vision techniques, then the Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs online course is an excellent place to start. This course, with over 20 plus real-world projects, is designed to help you master the latest 2019 concepts in applying Deep Learning to Computer Vision. So, whether you are a beginner or an experienced computer vision developer, this course will provide a proper and complete learning path to improve your skills.
The Course Description
The Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs course offers a deep learning virtual machine, which includes all the Deep Learning Libraries like Keras, TensorFlow, OpenCV, TFODI, YOLO, Darkflow, and many more pre-installed, making the process of learning much simpler and more comfortable. The course uses Python and Keras to implement CNNs, YOLO, TFOD, R-CNNs, SSDs & GANs to teach you practical aspects such as:
- Handwritten Digit Classification using MNIST
- Image Classification using CIFAR10
- Dogs vs. Cats classifier
- Simpsons Character Classifier
- Age, Gender and Emotion Classification
- Finding the Nuclei in Medical Scans using U-Net
- Object Detection with YOLO V3
- DeepDream and Neural Style Transfers
- And much more!
With over 18 different projects using the most up to date methods, you will gain hands-on experience of using all the latest Deep Learning frameworks in Python, including:
- Keras
- Tensorflow 2.0
- YOLO (DarkNet and DarkFlow)
- OpenCV4
- And many more!
The Course Ratings
With a course rating aggregate of 4.33403 over 2,171 course reviews, it is clear that the Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs online course is one of the best course available online to master your skills in Deep Learning Computer Vision.
The Course Content and Updates
The course content is well-structured and easy to follow, which makes it possible for beginners to understand and grasp complex concepts with ease. The course content is updated regularly to keep up with the latest trends, and the June 2020 update has brought TensorFlow 2.0 compatible code, Windows install guide for TensorFlow2.0 (with Keras), OpenCV4 and Dlib. The instructor, Rajeev Ratan, is active daily in the 'questions and answers' area of the course and provides exceptional support with an informal tone.
The course has some interesting projects to work on that will teach you how to use Deep Learning in different contexts like Face Recognition, Object Detection, and Neural Style Transfers. The course also covers OpenCV projects such as Live Sketch, Identifying Shapes, Counting Circles and Ellipses, Finding Waldo, Single Object Detectors using OpenCV, Car and Pedestrian Detector using Cascade Classifiers, and much more.
Why You Should Take This Course
The demand for computer vision expertise is growing exponentially across the world, and this course offers an excellent foundation in Computer Vison. With the rise of robots and AI, it has become essential to equip oneself with the latest techniques and skills in computer vision. Through this course, you will gain skills that will dramatically increase your career prospects as a Computer Vision developer.
In total, everything about this course is exceptional, from the well-structured content to the impressive course ratings. So, if you want to start a career in Computer Vision or improve your current knowledge and skills, then this course is undoubtedly something you should consider.
What Students Had To Say About Rajeev Ratan's Course
Rajeev Ratan is an exceptional instructor that provides extensive support to his students over Udemy's platform. His courses are amazingly well-taught and informative. He has designed his course in such a way that it is easy to follow and understand the concepts. Below is what some students had to say about his other Udemy course:
- "I'm amazed at the possibilities. Very educational, learning more than what I ever thought was possible. Now, being able to actually use it in a practical purpose is intriguing... much more to learn & apply."
- "Extremely well taught and informative Computer Vision course! I've trawled the web looking for OpenCV python tutorials resources, but this course was by far the best amalgamation of relevant lessons and projects. Loved some of the projects and had lots of fun tinkering them."
- "Awesome instructor and course. The explanations are really easy to understand, and the materials are very easy to follow. Definitely a really good introduction to image processing."
- "I am extremely impressed by this course!! I think this is by far the best Computer Vision course on Udemy. I'm a college student who had previously taken a Computer Vision course in undergrad. This 6.5-hour course blows away my college class by miles!!"
- "Rajeev did an excellent job on this course. I had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications. Rajeev is clear and concise, which helps make a complicated subject easy to comprehend for anyone wanting to start building applications."
Enroll Now to Become a Master in Computer Vision using Deep Learning Today!
The Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs course, with all its amazing features, is available for enrollment right now on Udemy. If you are interested in becoming a pro at Deep Learning Computer Vision, then enroll now to start the process of mastering the latest concepts and techniques.
