Beginning Anomaly Detection Using

bias_regularizer: A regularizer function applied to the bias.

• 

activity_regularizer: A regularizer function applied to the output of 

the layer.

• 

kernel_constraint: A constraint function applied to the weights. For 

more information, check out the 

Constraints section.

• 

bias_constraint: A constraint function applied to the bias.

 UpSampling  1D

keras.layers.UpSampling1D()

For a detailed explanation on how upsampling works, refer to Chapter 

7

.

This layer essentially repeats the data 

n times with respect to time (where n is the 

parameter passed in):

• 

size: An integer n that specifies how many times to repeat each data 

entry with respect to time. The order of time is preserved, so each 

element is repeated