English | Size: 8.69 GB
Genre: eLearning
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
https://nitroflare.com/view/CC287CB81FFA71E/DeepLearningComputerVisionCNNOpenCVYOLOSSDGANs.23.11.part01.rar
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