Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
- Offered byUDEMY
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) at UDEMY Overview
Duration | 16 hours |
Total fee | ₹649 |
Mode of learning | Online |
Credential | Certificate |
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) at UDEMY Course details
- For Students and professionals who want to take their knowledge of computer vision and deep learning to the next level
- For Anyone who wants to learn about object detection algorithms like SSD and YOLO
- For Anyone who wants to learn how to write code for neural style transfer
- For Anyone who wants to use transfer learning
- For Anyone who wants to shorten training time and build state-of-the-art computer vision nets fast
- Understand and apply transfer learning
- Understand and use state-of-the-art convolutional neural nets such as VGG, ResNet and Inception
- Understand and use object detection algorithms like SSD
- Understand and apply neural style transfer
- Understand state-of-the-art computer vision topics
- Class Activation Maps
- GANs (Generative Adversarial Networks)
- Object Localization Implementation Project
- We’re going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGG, ResNet, and Inception (named after the movie which by the way, is also great!)
- We’re going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I
- In this course, you’ll see how we can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label
- You can imagine that such a task is a basic prerequisite for self-driving vehicles
- We’ll be looking at a state-of-the-art algorithm called SSD which is both faster and more accurate than its predecessors
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) at UDEMY Curriculum
Welcome
Introduction
Outline and Perspective
How to Succeed in this Course
Machine Learning Basic Reviews
What is Machine Learning?
Code Preparation (Classification Theory)
Beginner's Code Preamble
Classification Notebook
Code Preparation (Regression Theory)
Regression Notebook
The Neuron
How does a model "learn"?
Making Predictions
Saving and Loading a Model
Suggestion Box
Artificial Neural Networks (ANN) Review
Artificial Neural Networks Section Introduction
Forward Propagation
The Geometrical Picture
Activation Functions
Multiclass Classification
How to Represent Images
Code Preparation (ANN)
ANN for Image Classification
ANN for Regression
Convolution Neural Networks (CNN) Reviews
What is Convolution? (part 1)
What is Convolution? (part 2)
What is Convolution? (part 3)
Convolution on Color Images
CNN Architecture
CNN Code Preparation
CNN for Fashion MNIST
CNN for CIFAR-10
Data Augmentation
Batch Normalization
Improving CIFAR-10 Results
VGG and Transfer Learning
VGG Section Intro
What's so special about VGG?
Transfer Learning
Relationship to Greedy Layer-Wise Pretraining
Getting the data
Code pt 1
Code pt 2
Code pt 3
VGG Section Summary
ResNet (and Inception)
ResNet Section Intro
ResNet Architecture
Transfer Learning with ResNet in Code
Blood Cell Images Dataset
How to Build ResNet in Code
1x1 Convolutions
Optional: Inception
Different sized images using the same network
ResNet Section Summary
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) at UDEMY Entry Requirements
- Prerequisite: Know how to build, train, and use a CNN using some library (preferably in Python)
- Understand basic theoretical concepts behind convolution and neural networks
- Decent Python coding skills, preferably in data science and the Numpy Stack
- Not mentioned
Other courses offered by UDEMY
Student Forum
Anything you would want to ask experts?
Data ScienceDeep LearningDeep Learning and Neural NetworksDeep Learning: Advanced Computer Vision (GANs, SSD, +More!)