# Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

In this work, we have demonstrated how techniques from cognitive psychology can be leveraged to help us better understand DNNs. As a case study, we measured the shape bias in two powerful yet poorly understood DNNs - Inception and MNs. Our analysis revealed previously unknown properties of these models. More generally, our work leads the way for future exploration of DNNs using the rich body of techniques developed in cognitive psychology

link: <https://arxiv.org/pdf/1706.08606.pdf>


---

# 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://agi.university/cognitive_psychology_dnn.md?ask=<question>
```

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.