Deep Learning For Computer Vision
Build cool and state of the art computer vision projects with deep learning.
Bullstrack
Deep Learning For Computer Vision udemy course
Build cool and state of the art computer vision projects with deep learning.
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
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
Description:
The primary objective of this course is to teach you the practical hands-on skills you need to solve image classification problems - and in particular, multi-class classification. And all this, well, we shall be doing without bringing in unnecessary math logic behind it all.
In this course you will learn about the most widely used type of deep neural networks (Convolution neural network). As used by top companies all over the world like Facebook and Google.
You will learn how to use Keras in your applications to solve problems and package your models.
Build a Rest API to serve your deep learning models.
Who this course is for:
- Students delving in machine learning and are already comfortable with Python
- Intermediate Python developers
- Beginner Python developers interested in deep learning
- Hobbyists interested in deep learning and computer vision
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Course Details:
- 6 hours on-demand video
- 4 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Deep Learning For Computer Vision udemy free download
Build cool and state of the art computer vision projects with deep learning.
Demo Link: https://www.udemy.com/course/deep-learning-and-computer-vision/
