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Questions tagged [normalization]

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77
votes
1answer
69k views

When to use (He or Glorot) normal initialization over uniform init? And what are its effects with Batch Normalization?

I knew that Residual Network (ResNet) made He normal initialization popular. In ResNet, He normal initialization is used , while the first layer uses He uniform initialization. I've looked through ...
13
votes
2answers
30k views

How to normalize data for Neural Network and Decision Forest

I have a data set with 20000 samples, each has 12 different features. Each sample is either in category 0 or 1. I want to train a neural network and a decision forest to categorize the samples so that ...
26
votes
1answer
20k views

Ways to deal with longitude/latitude feature [closed]

I am working on a fictional dataset with 25 features. Two of the features are latitude and longitude of a place and others are pH values, elevation, windSpeed etc with varying ranges. I can perform ...
22
votes
3answers
17k views

Data normalization before or after train-test split?

Which one is the right approach to make data normalization - before or after train-test split? Normalization before split ...
4
votes
3answers
525 views

Why models performs better If normalize test data and train data separately?

Many threads (and courses) such as this and this one suggest that you should apply normalization to the test data using the parameters used in the training set. But other some discussions I've found ...
10
votes
2answers
18k views

Would you recommend feature normalization when using boosting trees?

For some machine learning methods it is recommended to use feature normalization to use features that are on the same scale, especially for distance based methods like k-means or when using ...
6
votes
4answers
6k views

Should input images be normalized to -1 to 1 or 0 to 1

Many ML tutorials are normalizing input images to value of -1 to 1 before feeding them to ML model. The ML model is most likely a few conv 2d layers followed by a fully connected layers. Assuming ...
1
vote
2answers
217 views

normalization of probabilities in predicting a poly-neuron output in neural nets

When predicting a poly-neuron output in neural nets, say, predicting multiple handwritten digits and giving an output neuron vector (0.1,...,0.9,0.1,...), many use sth like softmax (or sth like the ...
8
votes
3answers
3k views

What is normalization for?

I am new in python and data science (and not great in math). I am learning machine learning. I got following normalize function. Can you please explain what does this normalize function do? ...
2
votes
1answer
90 views

Image normalisation methods

I have found some research papers specifying explicitly the normalisation technique they used to get the results. What difference do IMG /255.0 And ...