ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
800 B
800 B
id, title, challengeType, videoId, dashedName
| id | title | challengeType | videoId | dashedName |
|---|---|---|---|---|
| 5e8f2f13c4cdbe86b5c72d9a | Convolutional Neural Networks: Picking a Pretrained Model | 11 | h1XUt1AgIOI | convolutional-neural-networks-picking-a-pretrained-model |
--question--
--text--
Fill in the blanks below to use Google's pre-trained MobileNet V2 model as a base for a convolutional neural network:
base_model = tf.__A__.applications.__B__(input_shape=(160, 160, 3),
include_top=__C__,
weights='imagenet'
)
--answers--
A: keras
B: MobileNetV2
C: False
A: Keras
B: MobileNetV2
C: True
A: keras
B: mobile_net_v2
C: False
--video-solution--
1