- Introduction to Deep Learning with Images
- Learn the key components of convolutional neural networks and train a simple classification model
- Transfer Learning
- Retraining networks with new data is the most common way to apply deep learning in industry. In this module, you’ll retrain common networks, set appropriate values for training options, and compare results from different models.
- Investigating Network Behavior
- Explaining how models make predictions is increasingly important. In this module, you’ll use confidence scores and visualizations to determine what regions of an image the model is using to make predictions. You’ll also identify common errors and adjust training options to improve performance.
- Final Project: Classifying the ASL Alphabet
- Apply your new skills to a final project.
