pythontensorflowmachine-learningkerasdeep-learning

What is the difference between MaxPool and MaxPooling layers in Keras?

I just started working with and noticed that there are two layers with very similar names for max-pooling: MaxPool and MaxPooling. I was surprised that I couldn't find the difference between these two on Google; so I am wondering what the difference is between the two if any.

Solution

  • They are the same... You can test it on your own

    import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import *

# create dummy data
X = np.random.uniform(0,1, (32,5,3)).astype(np.float32)

pool1 = MaxPool1D()(X)
pool2 = MaxPooling1D()(X)

tf.reduce_all(pool1 == pool2) # True

    I used 1D max-pooling but the same is valid for all the pooling operations (2D, 3D, avg, global pooling)