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freeCodeCamp/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-creating-a-model.english.md
Oliver Eyton-Williams bd68b70f3d
Feat: hide blocks not challenges (#39504) 
* fix: remove isHidden flag from frontmatter

* fix: add isUpcomingChange

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

* feat: hide blocks not challenges

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>
2020-09-03 15:07:40 -07:00

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id, title, challengeType, videoId
id title challengeType videoId
5e8f2f13c4cdbe86b5c72d95 Neural Networks: Creating a Model 11 K8bz1bmOCTw

Description

Tests

question:
  text: |
    Fill in the blanks below to build a sequential model of dense layers:

    ```py
    model = __A__.__B__([
        __A__.layers.Flatten(input_shape=(28, 28)),
        __A__.layers.__C__(128, activation='relu'),
        __A__.layers.__C__(10, activation='softmax')
    ])
    ```

  answers:
    - |
      A: `keras`

      B: `Sequential`

      C: `Dense`
    - |
      A: `tf`

      B: `Sequential`

      C: `Categorical`
    - |
      A: `keras`

      B: `sequential`

      C: `dense`
  solution: 1