Introduction
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