📗 Tutorial · learning-oriented

Tutorials

This section provides step-by-step tutorials to help beginners learn how to use DynVision. These tutorials are designed to guide you through common tasks and workflows, providing hands-on experience with the toolbox.

Getting Started

• Basic Model Training: Train your first model on CIFAR-10
• Custom Model Creation: Create your own neural network architecture

Planned Tutorials

The following tutorials are planned for future releases. In the meantime, the relevant material is covered in the How-to Guides and Reference sections.

• Working with data: dataset preparation, FFCV integration, and custom data loaders
• Model development: recurrent connections, skip and feedback connections, and dynamics configuration
• Analysis and visualization: response analysis, comparative visualization, and biological comparison
• Advanced topics: hyperparameter optimization, cluster computing, and custom experiments
• End-to-end examples: contrast response, adaptation studies, and object recognition