English | Size: 10.96 GB
Genre: eLearning
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:
• Keras
• Tensorflow
• TensorFlow Object Detection API
• YOLO (DarkNet and DarkFlow)
• OpenCV
All in an easy to use virtual machine, with all libraries pre-installed!
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
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
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
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