Compliance 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

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)