Training a Model

Model training for this project is initiated with the neuston_net.py TRAIN command.

A number of decisions are involved in the setup and training of a new image-classification NN model.

• base neural-net architecture
• training dataset
• training limits
• data augmentation options
• training results/statistics

This page gives an overview of the options available to the user. Additional details like examples, and use-cases, commands and tools can be found on their respective wiki pages.

Model Architecture

Training Datasets

Training Limits

Data augmentation

Output Statistics