Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
Update with TensorFlow 2.0 Support. Become a Pro at Deep Learning Computer Vision! Includes 20+ Real World Projects
Deep Learning Computer Vision™ Use Python & Keras to implement CNNs, YOLO, TFOD, R-CNNs, SSDs & GANs + A Free Introduction to OpenCV. If you want to learn all the latest 2019 concepts in applying Deep Learning to Computer Vision, look no further – this is the course for you! You’ll get hands the following Deep Learning frameworks in Python: Keras, Tensorflow 2.0, TensorFlow Object Detection API, YOLO (DarkNet and DarkFlow), OpenCV4.
Best Seller Course: Autonomous Cars: Deep Learning and Computer Vision in Python
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
You May Also Need This Course: Modern Computer Vision™ OpenCV4, Tensorflow, Keras & PyTorch
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