Introduction

  • 1 minute

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