Where to go?
Use this guide to navigate the NetsPresso documentation and quickly find the right resources to get started, optimize, and benchmark your AI models.
An overview of the NetsPresso platform, including its core architecture, purpose, and value proposition.
→ Start here to understand what NetsPresso does and why it's built the way it is.
Learn how different modules and workflows (training, optimization, benchmarking) fit together within the platform.
→ Get a high-level view of the full AI pipeline NetsPresso enables.
- Using PyNetsPresso (Python SDK): For scripting and automation using Python.
- Using Studios (GUI): A visual, no-code interface to run optimization pipelines step-by-step.
→ Pick the usage mode that fits your workflow and level of technical comfort.
Understand what types of models and formats are currently supported for training, optimization, conversion, and benchmarking.
→ Check compatibility before starting your workflow.
See results from real use cases—how compression and optimization led to performance improvements.
→ Gain confidence by reviewing actual benchmarks and outcomes.
Find quick answers to common questions about NetsPresso.
If you need more detailed information about individual modules or NetsPresso usage, please refer to the following:
Updated 9 days ago