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freeCodeCamp/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/convolutional-neural-networks-picking-a-pretrained-model.md
miyaliu666 3ea2fe4f77 feat(i18n,curriculum): add Bilibili ids for Chinese (#43564)
Co-authored-by: Kristofer Koishigawa <scissorsneedfoodtoo@gmail.com>
Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
2021-10-01 09:54:12 +05:30

868 B

id, title, challengeType, videoId, bilibiliIds, dashedName
id title challengeType videoId bilibiliIds dashedName
5e8f2f13c4cdbe86b5c72d9a Convolutional Neural Networks: Picking a Pretrained Model 11 h1XUt1AgIOI
aid bvid cid
463063633 BV1qL411x73q 409132626
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