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

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

## Description
<section id='description'>
</section>

## Tests
<section id='tests'>

```yml
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
```

</section>