Questions tagged [layer-normalization]
The layer-normalization tag has no usage guidance.
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In music, which normalization common for amplitude?
So, shall I normalize the amplitude (time-domain) into [-1, 1] or [0,1]?
If so, is it also applied in spectrogram form?
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In the Original Transformer, How exactly is layer normalization done?
I am assuming we are talking about the Transformer as written in "Attention is all you need" paper.
Let's say the in the normalization layer is m x n, where m is the context size and n is ...
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When should one not use Normalization Techniques in a deep learning models?
When should one not use normalization between layers like Batch Norm, Layer Norm, Instance Norm, and Group Norm in deep learning while training a DL model?
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Layer Norm in a ResNet MLP
Where do you insert layer norm in a residual block?
After the addition or before the activation function (RELU in this case)?
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How to choose proper normalization strategy for the activations?
I am reading a survey on various normalization techniques adopted in neural network architectures.
The purpose of introducing normalization is understandable - to stabilize the training and avoid ...
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What are the consequences of layer norm vs batch norm?
I'll start with my understanding of the literal difference between these two. First, let's say we have an input tensor to a layer, and that tensor has dimensionality $B \times D$, where $B$ is the ...
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Where should we place layer normalization in a transformer model?
In Attention Is All You Need paper:
That is, the output of each sub-layer is $LayerNorm(x+Sublayer(x))$, where $Sublayer(x)$ is the function implemented by the sub-layer itself. We apply dropout to ...
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