# Neural Networks - [Overview](https://docs.supervisely.com/neural-networks/overview.md) - [Training](https://docs.supervisely.com/neural-networks/training.md) - [Experiments](https://docs.supervisely.com/neural-networks/training/experiments.md) - [Inference & Deployment](https://docs.supervisely.com/neural-networks/inference-and-deployment.md) - [Supervisely Serving Apps](https://docs.supervisely.com/neural-networks/inference-and-deployment/supervisely-serving-apps.md) - [Deploy & Predict with Supervisely SDK](https://docs.supervisely.com/neural-networks/inference-and-deployment/deploy_and_predict_with_supervisely_sdk.md) - [Prediction API](https://docs.supervisely.com/neural-networks/inference-and-deployment/prediction-api.md) - [Model API](https://docs.supervisely.com/neural-networks/inference-and-deployment/model-api.md) - [Video Object Tracking](https://docs.supervisely.com/neural-networks/inference-and-deployment/video-object-tracking.md) - [Visual Question Answering](https://docs.supervisely.com/neural-networks/inference-and-deployment/visual-question-answering.md) - [Using trained models outside of Supervisely](https://docs.supervisely.com/neural-networks/inference-and-deployment/using-standalone-pytorch-models.md) - [Model Evaluation Benchmark](https://docs.supervisely.com/neural-networks/model-evaluation-benchmark.md) - [Object Detection](https://docs.supervisely.com/neural-networks/model-evaluation-benchmark/object-detection.md) - [Instance Segmentation](https://docs.supervisely.com/neural-networks/model-evaluation-benchmark/instance-segmentation.md) - [Semantic Segmentation](https://docs.supervisely.com/neural-networks/model-evaluation-benchmark/semantic-segmentation.md) - [Custom Benchmark Integration](https://docs.supervisely.com/neural-networks/model-evaluation-benchmark/custom-benchmark.md) - [Custom Model Integration](https://docs.supervisely.com/neural-networks/custom-model-integration.md) - [Custom Inference](https://docs.supervisely.com/neural-networks/custom-model-integration/integrate-custom-inference.md) - [Custom Training](https://docs.supervisely.com/neural-networks/custom-model-integration/integrate-custom-training.md) - [Scenarios](https://docs.supervisely.com/neural-networks/scenarios.md) - [Object Detection with YOLO26](https://docs.supervisely.com/neural-networks/scenarios/yolo26.md) - [Solutions](https://docs.supervisely.com/neural-networks/solutions.md) - [Temporal Action Localization with MVD](https://docs.supervisely.com/neural-networks/solutions/temporal_action_localization_with_mvd.md) - [Legacy](https://docs.supervisely.com/neural-networks/legacy.md) - [Starting with Neural Networks](https://docs.supervisely.com/neural-networks/legacy/overview.md) - [Train custom Neural Networks](https://docs.supervisely.com/neural-networks/legacy/custom-nn.md) - [Run pre-trained models](https://docs.supervisely.com/neural-networks/legacy/pre-trained-models.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.supervisely.com/neural-networks.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.