Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs, Go from beginner to Expert in using Deep Learning for Computer Vision (Keras & Python) completing 28 Real World Projects
Created by Rajeev Ratan
English
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What you'll 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!
- Learn 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
- Learn how to use the Python library Keras to build complex Deep Learning Networks (using Tensorflow backend)
- Learn how to do Neural Style Transfer, DeepDream and use GANs to Age Faces up to 60+
- Learn how to create, label, annotate, train your own Image Datasets, perfect for University Projects and Startups
- Learn how to use OpenCV with a FREE Optional course with almost 4 hours of video
- Learn how to use CNNs like U-Net to perform Image Segmentation which is extremely useful in Medical Imaging application
- Learn how to use TensorFlow's Object Detection API and Create A Custom Object Detector in YOLO
- Learn Facial Recognition with VGGFace
- Learn to use Cloud GPUs on PaperSpace for 100X Speed Increase vs CPU
- Learn to Build a Computer Vision API and Web App and host it on AWS using an EC2 Instance
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