Introduction

  • 1 minute

In this module, we learn how to perform different computer vision tasks using TensorFlow and Keras. We start with an introduction to dense neural networks, then build on that knowledge to dive into Convolutional Neural Networks (CNNs). Lastly, we look at how we can use pretrained models in transfer learning to improve our results with less data.

In this module you will:

  • Build computer vision machine learning models
  • Train image classifiers with dense neural networks
  • Apply Convolutional Neural Networks (CNNs) to extract spatial patterns
  • Use transfer learning with pretrained models to classify custom images