New Computer Vision Course!
Hi Everyone!
I've just launched early access to my latest course in computer vision: Python for Computer Vision with OpenCV and Deep Learning
! We already have over 11 hours of material and will be filling out and adding more lectures over the next few weeks. You can get it now for the special early access price at 95% off! Use the link below to enroll:
Why learn computer vision?
The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos!
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply avariety of effects, including color mappings, blending, thresholds, gradients, and more.
Then we'll move on to understanding video basics with OpenCV, including working with streaming video from a webcam. Afterwards we'll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking.
Then we'll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We'll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network.
Get full early access to the course with this link:
This course covers all this and more, including the following topics:
- NumPy
- Images with NumPy
- Image and Video Basics with NumPy
- Color Mappings
- Blending and Pasting Images
- Image Thresholding
- Blurring and Smoothing
- Morphological Operators
- Gradients
- Histograms
- Streaming video with OpenCV
- Object Detection
- Template Matching
- Corner, Edge, and Grid Detection
- Contour Detection
- Feature Matching
- WaterShed Algorithm
- Face Detection
- Object Tracking
- Optical Flow
- Deep Learning with Keras
- Keras and Convolutional Networks
- Customized Deep Learning Networks
- State of the Art YOLO Networks
- and much more!
Feel free to message me on Udemy with any questions on the new course! Hope to see you inside!
Thanks,
Jose
Analyst | B2B | B2C | Netsuits | Supply chain
5 年I'm interested
Scientist (ML | Optimization | Algorithms) @Amazon, ex-Meta
6 年Can you do a whole course on text mining? Loved your sentiment analysis and spam detection sections from the ML course!
CEO en Go to Gym Sportswear as a Service /23K ??????
6 年Juan Sandino
Senior Software Engineer | AI/ML | Building Solar Forecasting Models | Tech Community Organizer
6 年Jose, is the one of the best Python teachers I know! I recommend all his courses and plan on taking this one as well. Thanks again Jose for all the great material you put out there for us.
Professor || Data Scientist || Chief Advisor || Social Activist || Digital Transformation||
6 年As a fresher can start the machine learning or big data course.