UDEMY 2021 - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
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Go from beginner to Expert in using Deep Learning for Computer Vision (Keras & Python) completing 28 Real World Projects
What you’ll learn
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
Deep Learning Computer Vision™ Use Python & Keras to implement CNNs, YOLO, TFOD, R-CNNs, SSDs & GANs + A Free Introduction to OpenCV3.
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:
All in an easy to use virtual machine, with all libraries pre-installed!
Apr 2019 Updates:
Mar 2019 Updates:
Newly added Facial Recognition & Credit Card Number Reader Projects