# What is input\_shape?

**URL:** <https://discuss.ai.google.dev/t/what-is-input-shape/31990>\
**Category:** TensorFlow\
**Tags:** models, training\
**Created:** [May 17, 2023, 11:47pm UTC](https://discuss.ai.google.dev/t/what-is-input-shape/31990 "2023-05-17T23:47:10Z")\
**Posts on this page:** 5\
**Page:** 1

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**Author:** ![david\_lopez1](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/david_lopez1/32/18336_2.png) [@david\_lopez1](https://discuss.ai.google.dev/u/david_lopez1)\
**Post date:** [May 17, 2023, 11:47pm UTC](https://discuss.ai.google.dev/t/what-is-input-shape/31990/1 "2023-05-17T23:47:10Z")

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I was reading a website and saw this

```auto
model = models.Sequential()model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))model.add(layers.MaxPooling2D((2, 2)))model.add(layers.Conv2D(64, (3, 3), activation='relu'))model.add(layers.MaxPooling2D((2, 2)))model.add(layers.Conv2D(64, (3, 3), activation='relu'))

```

This a piece of a computer program.

The input\_shape receive 3 inputs. What does the first input mean. Is it the width of the image? Is it the height of the image?

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<div class="post-metadata">

**Author:** ![Laxma\_Reddy\_Patlolla](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/laxma_reddy_patlolla/32/19312_2.png) [@Laxma\_Reddy\_Patlolla](https://discuss.ai.google.dev/u/Laxma_Reddy_Patlolla)\
**Post date:** [May 18, 2023, 12:05am UTC](https://discuss.ai.google.dev/t/what-is-input-shape/31990/2 "2023-05-18T00:05:30Z")

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Hi @david_lopez1 ,

The first is to input the width of the image, the second is the height of the image and the third is the number of channels (the image has 3 channels (red, green, and blue)).

I hope this helps you!

Thanks.

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<div class="post-metadata">

**Author:** ![Matias\_Hayes](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/matias_hayes/32/15281_2.png) [@Matias\_Hayes](https://discuss.ai.google.dev/u/Matias_Hayes)\
**Post date:** [May 18, 2023, 4:49pm UTC](https://discuss.ai.google.dev/t/what-is-input-shape/31990/4 "2023-05-18T16:49:00Z")

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In the given code snippet, the input[\_](https://ytmp3indir.cc/youtube-mp3-indir/)shape `(32, 32, 3*)*` refers to the dimensions of the input image that the model will accept. The three values in the tuple represent the width, height, and number of color channels of the image, respectively.

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<div class="post-metadata">

**Author:** ![Schrottpreise](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/schrottpreise/32/12581_2.png) [@Schrottpreise](https://discuss.ai.google.dev/u/Schrottpreise)\
**Post date:** [April 15, 2024, 5:14am UTC](https://discuss.ai.google.dev/t/what-is-input-shape/31990/6 "2024-04-15T05:14:22Z")

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> [@david\_lopez1](#):
>
> This a piece of a computer program.
> 
> The input\_shape receive 3 inputs. What does the first input mean. Is it the width of the image? Is it the height of the image?

In the input\_shape parameter, the first input (32 in this case) typically represents the height of the image, while the second input (also 32 in this case) represents the width of the image. The third input (3 in this case) indicates the number of color channels in the image, which is typically 3 for RGB images (red, green, blue). So, in this example, the input\_shape=(32, 32, 3) suggests that the model expects input images with a height and width of 32 pixels and 3 color channels (RGB).  
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<div class="post-metadata">

**Author:** ![Abdul\_Raheem](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/abdul_raheem/32/7468_2.png) [@Abdul\_Raheem](https://discuss.ai.google.dev/u/Abdul_Raheem)\
**Post date:** [April 29, 2024, 1:46am UTC](https://discuss.ai.google.dev/t/what-is-input-shape/31990/8 "2024-04-29T01:46:09Z")

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input\_shape specifies the dimensions of the input data for a neural network model.  
_“Modified by moderator”_