Project 28: CNN with Dropout Counter

ML Engineer

Current Task

Objective

Review day: combine CNNs and Dropout — days 16 and 20 — in one model.

Task: build a CNN with a Dropout layer between the pooling and dense layers, and print its total parameter count.

index.py

import tensorflow as tf
from tensorflow.keras import layers, Sequential

model = Sequential([
    layers.Conv2D(8, (3, 3), activation='relu', input_shape=(28, 28, 1)),
    layers.MaxPooling2D((2, 2)),
    layers.Dropout(0.3),
    layers.Flatten(),
    layers.Dense(10, activation='softmax')
])
print(model.count_params())

* Hint: Correct characters turn green, incorrect ones turn red.

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