5. Interpreting the results

Explaining your models using Captum

DashAI uses Captum, a library for explaining decisions made by neural networks with deep learning framework PyTorch. Captum is designed to implement state of the art versions of AI models like Integrated Gradients, DeepLIFT, and Conductance. Captum allows researchers and developers to interpret decisions made in multimodal environments that combine, for example, text, images, and video, and allows them to compare results to existing models within the library. You can use it to understand feature importance or perform a deep dive on neural networks to understand neuron and layer attributions.

Captum Insights