This series of modules introduces learners to convolutional neural networks (CNNs).
Check back soon for more details.
Learning Objectives
- Describe the basic operation of a convolutional neural network
- Identify the components of a convolutional neural network and their relation to each other
- Explain how the convolution, stride, and padding operations work
- Use a data generator to load and transform image data sets
- Recognize the importance of data augmentation in the training process
- Identify when a model is overfitting or underfitting a data set
- Be able to save and restore trained models
- Use a pre-trained model in a different context (transfer learning)
