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Episode 09: Drew Linsley, Brown, on inductive biases for vision and generalization

Generally Intelligent

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Exploring Shape Bias and Vision Model Limitations

This chapter explores the intricacies of shape bias and the role of receptive field size in vision models. It highlights the limitations of feedforward networks and advocates for alternative approaches, such as recurrent models, to better handle the complexities of dynamic visual information.

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