Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.

<p>Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.</p>

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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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Summary:	<p>Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.</p>

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