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

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

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs Free Download. 2020 Update with TensorFlow 2.0 Support. Become a Pro at Deep Learning Computer Vision! Includes 20+ Real World Projects

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

Requirements

  • Basic programming knowledge is a plus but not a requirement
  • High school level math, College level would be a bonus
  • Atleast 20GB storage space for Virtual Machine and Datasets
  • A Windows, MacOS or Linux OS

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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!
  • 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

Who this course is for:

  • Programmers, college students or anyone enthusiastic about computer vision and deep learning
  • Those wanting to be on the forefront of the job market for the AI Revolution
  • Those who have an amazing startup or App idea involving computer vision
  • Enthusiastic hobbyists wanting to build fun Computer Vision applications

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

Google Drive 2020-3

Content From: https://www.udemy.com/course/master-deep-learning-computer-visiontm-cnn-ssd-yolo-gans/

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