Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

2020 Update with TensorFlow 2.0 Support. Become a Pro at Deep Learning Computer Vision! Includes 20+ Real World Projects

4.06 (2310 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Learn by completing 26 advanced computer vision projects including Emotion, Age & Gender Classification, London Underground Sign Detection, Monkey Breed, Flowers, Fruits , Simpsons Characters and many more!

Advanced Deep Learning Computer Vision Techniques such as Transfer Learning and using pre-trained models (VGG, MobileNet, InceptionV3, ResNet50) on ImageNet and re-create popular CNNs such as AlexNet, LeNet, VGG and U-Net.

Understand how Neural Networks, Convolutional Neural Networks, R-CNNs , SSDs, YOLO & GANs with my easy to follow explanations

Become familiar with other frameworks (PyTorch, Caffe, MXNET, CV APIs), Cloud GPUs and get an overview of the Computer Vision World

How to use the Python library Keras to build complex Deep Learning Networks (using Tensorflow backend)

How to do Neural Style Transfer, DeepDream and use GANs to Age Faces up to 60+

How to create, label, annotate, train your own Image Datasets, perfect for University Projects and Startups

How to use OpenCV with a FREE Optional course with almost 4 hours of video

How to use CNNs like U-Net to perform Image Segmentation which is extremely useful in Medical Imaging application

How to use TensorFlow's Object Detection API and Create A Custom Object Detector in YOLO

Facial Recognition with VGGFace

Use Cloud GPUs on PaperSpace for 100X Speed Increase vs CPU

Build a Computer Vision API and Web App and host it on AWS using an EC2 Instance

Course Gallery

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs – Screenshot 1 — Screenshot 1 – Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs – Screenshot 2 — Screenshot 2 – Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs – Screenshot 3 — Screenshot 3 – Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs – Screenshot 4 — Screenshot 4 – Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

Loading charts...

Comidoc Review

Our Verdict

This deep learning computer vision course offers a wide range of practical projects and detailed explanations of various advanced techniques. However, the quality of explanations for certain topics is inconsistent and there are several unaddressed mistakes throughout the course. While it provides valuable hands-on experience with libraries such as Keras and OpenCV, beginners may struggle to understand some concepts due to the lack of continuity and rigorous mathematical descriptions.

What We Liked

Covers a wide range of advanced computer vision projects, providing valuable practical experience
Includes detailed explanations of various deep learning techniques such as Transfer Learning and using pre-trained models
Uses the Python library Keras to build complex Deep Learning Networks, which is useful for those interested in pursuing further studies or research in this field
Provides a free optional course on how to use OpenCV, which can be beneficial for students who are new to this library

Potential Drawbacks

The quality of explanations for some topics like SSDs, YOLO & GANs is poor and rushed
Several mistakes in the lessons haven't been fixed even after being acknowledged months ago. This can be confusing for beginners
Some concepts are not explained using examples that carry between lessons, making understanding challenging
The course could benefit from more rigorous mathematical descriptions to better explain some theories and techniques