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
 14 Hours

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