Course Outline
Introduction
What is AI
- Computational Psychology
- Computational Philosophy
Deep Learning
- Artificial neural networks
- Deep learning vs. machine learning
Preparing the Development Environment
- Installing and configuring OpenCV
OpenCV 4 Quickstart
- Viewing images
- Using color channels
- Viewing videos
Deep Learning Computer Vision
- Using the DNN module
- Working with with deep learning models
- Using SSDs
Neural Networks
- Using different training methods
- Measuring performance
Convolutional Neural Networks
- Training and designing CNNs
- Building a CNN in Keras
- Importing data
- Saving, loading, and displaying a model
Classifiers
- Building and training a classifier
- Splitting data
- Boosting accuracy of results and values
Summary and Conclusion
Requirements
- Basic programming experience
Audience
- Software Engineers
Testimonials (3)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
Nola - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
