Can you use Batch Normalisation in Sparse Auto-encoders | Data Science Interview Questions
In deep learning Can you use Batch Normalisation in Sparse Autoencoders?
Yes, you can use Batch Normalization (BN) in Sparse Auto-encoders.
However, when it comes to sparse autoencoders, the use of batch normalization can be challenging.
Batch Normalization is a technique used to improve the training of deep learning models by normalizing the input to each layer, which helps in addressing the internal covariate shift problem. It can be applied to any deep learning model, including Sparse Auto-encoders.
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