January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Keras pooling layers
These layers implement the different pooling operations for convolutional neural networks:
| Layer Name | Description |
| MaxPooling1D | This layer implements the max pooling operation for one-dimensional input data. |
| MaxPooling2D | This layer implements the max pooling operation for two-dimensional input data. |
| MaxPooling3D | This layer implements the max pooling operation for three-dimensional input data. |
| AveragePooling1D | This layer implements the average pooling operation for two-dimensional input data. |
| AveragePooling2D | This layer implements the average pooling operation for two-dimensional input data. |
| AveragePooling3D | This layer implements the average pooling operation for three-dimensional input data. |
| GlobalMaxPooling1D ... |
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