Course Overview
Course Content
0 / 43 completedCompliance Considerations
Data Privacy
Case Study - Autonomous Vechicles
Understand Computer Vision
Copyright
Benefits and Harms
Course Overview
Course Introduction
A Peek into Image Representation
Shape Shifting Pixels - Exploring Image Transformations
Preparing Your Image Data
Demo - Setting Up Your Developer Environment
Computer Visions Role Across Industries
Image Crafting Essentials - A Tour of OpenCV and Pillow
Demo - Building, Training, and Evaluating an Image Classifier
Using OpenCV for Image Segmentation
Applying the Watershed Algorithm
Using Pillow for Image Segmentation
Introducing the U-Net Deep Learning Model
Executing the Model
Preparing Our Data for Image Segmentation
Applying the U-Net Model to Image Segmentation
Introduction to Image Classification and Dataset
Data Preparation and Feature Extraction
Building a Basic Image Classification Model
Demo - Implementing a CNN for Image Classification
Evaluating Image Classifiers
Introduction to Transfer Learning
Introduction to Advanced Image Classification Architectures
Course Summary and Next Steps
Demo - Transfer Learning with Advanced Architectures
Using Neural Networks for Image Classification - Featuring Te
Feature Extraction from Images
Using Neural Networks for Image Classification
Building an Image Classification Model with Tensorflow
Classifying with a Multilayer Perceptron
Evaluating a Tensorflow Image Classification Model
Other Notable Architectures and Libraries
Understanding Advanced Neural
ResNet (Residual Networks)
Mobilenets
Thank You and Go Build Epic C
Inception (GoogLeNet)