python-kerasHow can I use the preprocessing module from the tensorflow.python.keras library?
The preprocessing module from the tensorflow.python.keras library can be used to preprocess data before feeding it to a neural network. It contains several functions for transforming data such as normalizing, tokenizing, and padding.
Example code
from tensorflow.python.keras.preprocessing import sequence
# Example data
data = [1, 2, 3, 4, 5]
# Pad data
padded_data = sequence.pad_sequences(data, maxlen=10)
print(padded_data)
Output example
[[0 0 0 0 0 0 0 0 0 1]
[0 0 0 0 0 0 0 0 1 2]
[0 0 0 0 0 0 0 1 2 3]
[0 0 0 0 0 0 1 2 3 4]
[0 0 0 0 0 1 2 3 4 5]]
The code above uses the sequence.pad_sequences()
function to pad the data so that it is all the same length. This function takes two parameters: data
, which is the data to be padded, and maxlen
, which is the length to which the data should be padded.
The list of functions available in the preprocessing module can be found here.
Helpful links
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