Pooling layers (MaxPool, AvgPool) in TensorFlow - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a MaxPooling2D layer with pool size 2x2.

TensorFlow

model.add(tf.keras.layers.MaxPooling2D(pool_size=[1]))

Drag options to blanks, or click blank then click option'

A(4, 4)

B(2, 2)

C(3, 3)

D(1, 1)

Attempts:

3 left

💡 Hint

Common Mistakes

Using pool_size (1, 1) which does not reduce size.

Confusing pool_size with strides.

The pool_size parameter defines the size of the window to take the maximum over. (2, 2) is a common choice for downsampling.

2fill in blank

medium

Complete the code to add an AveragePooling2D layer with pool size 3x3.

TensorFlow

model.add(tf.keras.layers.AveragePooling2D(pool_size=[1]))

Drag options to blanks, or click blank then click option'

A(4, 4)

B(2, 2)

C(1, 1)

D(3, 3)

Attempts:

3 left

💡 Hint

Common Mistakes

Using MaxPooling2D instead of AveragePooling2D.

Using wrong pool_size like (2, 2) instead of (3, 3).

AveragePooling2D with pool_size (3, 3) computes the average over 3x3 windows, reducing spatial dimensions accordingly.

3fill in blank

hard

Fix the error in the code to correctly add a MaxPooling2D layer with stride 2.

TensorFlow

model.add(tf.keras.layers.MaxPooling2D(pool_size=(2, 2), strides=[1]))

Drag options to blanks, or click blank then click option'

A(2, 2)

B(1, 1)

C(3, 3)

D(4, 4)

Attempts:

3 left

💡 Hint

Common Mistakes

Setting strides to (1, 1) which does not downsample.

Using strides larger than pool_size causing skipped regions.

The strides parameter controls how far the pooling window moves each step. For downsampling by half, strides should be (2, 2).

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length if length is greater than 3.

TensorFlow

{word: [1] for word in words if [2]

Drag options to blanks, or click blank then click option'

Alen(word)

Blen(word) > 3

Cword.startswith('a')

Dword.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Using word.upper() as value which changes the word instead of length.

Using word.startswith('a') as condition which filters differently.

The dictionary comprehension maps each word to its length (len(word)) only if the length is greater than 3 (len(word) > 3).

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension mapping uppercase words to their lengths if length is greater than 4.

TensorFlow

{ [1]: [2] for word in words if [3] }

Drag options to blanks, or click blank then click option'

Aword.upper()

Blen(word)

Clen(word) > 4

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using word.lower() as key instead of uppercase.

Using len(word) < 4 as condition which filters incorrectly.

The dictionary comprehension maps the uppercase version of each word (word.upper()) to its length (len(word)) only if the length is greater than 4 (len(word) > 4).