Introduction

Completed 100 XP

In this module we will learn how to perform different computer vision tasks using TensorFlow and Keras. We will start with an introduction to a small Dense Neural Network (DNNs), then build on that knowledge to dive into Convolutional Neural Networks (CNNs). Lastly, we will look at how we can use pre-trained models in transfer learning to improve our results with less data.

Learning objectives

• Introduction to how to build computer vision machine learning models
• Intro to training with Dense Neural Networks (DNNs)
• Intro to Convolutional Neural Networks (CNNs)

Prerequisites

• Knowledge of Python
• Basic knowledge about how to use Jupyter Notebooks
• Basic understand of machine learning

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