Visualizing the representations learned by models.

<p>t-SNE embeddings of the representations in the last layer of a CNN (10 layers, SimCLR algorithm, 80K training images). <b>(A)</b> For this visualization, the agent was stationary in front of the monitor while viewing Object A (red dots) or Object B (blue dots) from different tes...

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Bibliographic Details
Main Author:	Lalit Pandey (13195488) (author)
Other Authors:	Donsuk Lee (20371293) (author), Samantha M. W. Wood (7506305) (author), Justin N. Wood (7506308) (author)
Published:	2024
Subjects:	Neuroscience Developmental Biology Science Policy Mental Health Biological Sciences not elsewhere classified Information Systems not elsewhere classified virtual animal chambers video game engine deep neural networks newborn &# 8217 spatiotemporal data distributions performed parallel controlled formal scientific models blind fitting process meaning visual development raised newborn chicks newborn visual systems test whether space impoverished environments containing learn object recognition visual systems parallel development object recognition newborn chicks newborn animals visual diet training data time fitting test viewpoints newborns learn impoverished environments computable models single object xlink "> viable theory time fitters rearing experiments providing image failures across agents moving
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Visualizing the representations learned by models.

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