freeCodeCamp/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.md

id, title, challengeType, videoId

id	title	challengeType	videoId
5e8f2f13c4cdbe86b5c72d98	Creating a Convolutional Neural Network	11	kfv0K8MtkIc

--question--

--text--

Fill in the blanks below to complete the architecture for a convolutional neural network:

model = models.__A__()
model.add(layers.__B__(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))
model.add(layers.__C__(2, 2))
model.add(layers.__B__(64, (3, 3), activation='relu'))
model.add(layers.__C__(2, 2))
model.add(layers.__B__(32, (3, 3), activation='relu'))
model.add(layers.__C__(2, 2))

--answers--

A: Sequential

B: add

C: Wrapper

---

A: keras

B: Cropping2D

C: AlphaDropout

---

A: Sequential

B: Conv2D

C: MaxPooling2D

--video-solution--

3