T-Fixup
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3 min read
T-Fixup is an initialization method for Transformers that aims to remove the need for layer normalization and warmup. This method…
SkipInit
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2 min read
Overview of SkipInit
SkipInit is a method used to train neural networks without the need for normalization. It works by…
Fixup Initialization
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2 min read
What is FixUp Initialization?
FixUp Initialization, also known as Fixed-Update Initialization, is a method for initializing deep residual networks. The…
Layer-Sequential Unit-Variance Initialization
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2 min read
When it comes to training deep neural networks for machine learning, choosing the right weight initialization strategy can make a…
Xavier Initialization
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3 min read
Xavier Initialization for Neural Networks
Xavier Initialization, also known as Glorot Initialization, is an important technique used for initializing the…
Kaiming Initialization
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3 min read
Kaiming Initialization, also known as He Initialization, is an optimization method for neural networks. It takes into account the non-linear…