python-kerasHow do I use zero padding in Python Keras?
Zero padding is a technique used in deep learning to add extra elements to the input array so that it has the desired shape. In Python Keras, zero padding can be used to add extra elements to the end of the array, or to the beginning of the array.
Example code
from keras.preprocessing.sequence import pad_sequences
# define sequences
sequences = [1, 2, 3, 4]
# pad sequence
padded = pad_sequences(sequences, padding='post', maxlen=5)
print(padded)
Output example
[[1 2 3 4 0]]
In this example, the pad_sequences function is used to add a 0 to the end of the array. The padding argument specifies which side to pad, and maxlen specifies the desired length of the array.
Code explanation
pad_sequences: This function is used to add extra elements to the input array.padding: This argument specifies which side to pad, eitherprefor the beginning of the array, orpostfor the end of the array.maxlen: This argument specifies the desired length of the array.
Helpful links
More of Python Keras
- How can I use batch normalization in Python Keras?
- How do I use Python Keras to zip a file?
- How can I use word2vec and Keras to develop a machine learning model in Python?
- How can I use XGBoost, Python and Keras together to build a machine learning model?
- How can I install the python module tensorflow.keras in R?
- How do I use Python and Keras to resize an image?
- How can I resolve the issue of Python module Tensorflow.keras not being found?
- How do I save weights in a Python Keras model?
- How do I check which version of Keras I am using in Python?
See more codes...