How to do padding using keras?
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How to do padding using keras?

How to do padding using keras?

This recipe helps you do padding using keras

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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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