python-kerasHow do I use the pad_sequences function in Python Keras?
The pad_sequences function in Python Keras is used to ensure that all sequences in a list have the same length. This is important for neural networks, as inputs must be consistently sized in order to be processed.
For example, to pad a sequence of length 4 to a maximum length of 6, the code would be:
from keras.preprocessing.sequence import pad_sequences
input_sequence = [1, 2, 3, 4]
padded_sequence = pad_sequences([input_sequence], maxlen=6, padding='post')
print(padded_sequence)The output of this code would be [[1 2 3 4 0 0]].
The code is composed of the following parts:
from keras.preprocessing.sequence import pad_sequences: imports the pad_sequences function from the Keras library.input_sequence = [1, 2, 3, 4]: defines the input sequence.pad_sequences([input_sequence], maxlen=6, padding='post'): uses the pad_sequences function to pad the input sequence to a maximum length of 6, with padding added to the end of the sequence (post).print(padded_sequence): prints the padded sequence.
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