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[19] Dumitru Erhan - Understanding Deep Architectures and the Effect of Unsupervised Pretraining

The Thesis Review

CHAPTER

Exploring Regularization Hypotheses in Deep Learning Experiments

This chapter investigates three key hypotheses — conditioning, optimization, and regularization — related to deep architectures. The primary focus is on the regularization hypothesis, exploring experimental methodologies and the iterative nature of scientific experimentation in this domain.

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