How to do padding using keras?

How to do padding using keras?

How to do padding using keras?

This recipe helps you do padding using keras


Recipe Objective

How to do padding using keras? Padding is a parameter that is used to control the number of features at the output with respect to input featues.

Step 1- Importing Libraries.

import keras from keras.models import Sequential from keras.layers import Dense from keras.layers import Dropout from tensorflow.keras import layers

Step 2-Creating a sample input.

We will create a sample input to show the working of the model.

sample_data = [[1, 2, 3, 4],[5, 6, 7, 86, 985],[8, 92, 92837, 7591, 251638, 29386, 188361],] output = keras.preprocessing.sequence.pad_sequences( inputs, padding="post" ) print(output)
[[     1      2      3      4      0      0      0]
 [     5      6      7     86    985      0      0]
 [     8     92  92837   7591 251638  29386 188361]]

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