October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Define SegNet
For the purpose of image segmentation, we will build a SegNet model, which is very similar to the autoencoder we built in Chapter 8: Handwritten Digits Classification Using ConvNets, as shown:
Figure 9.18: SegNet architecture used in this chapter
The SegNet model we'll define will accept (3,360, 480) images as input with (172800, 2) segmentation arrays as the targets, and it will have the following characteristics in the encoder:
- The first layer is a Convolution 2D layer with 64 filters of size 3*3, with activation as relu, followed by batch normalization, followed by downsampling with MaxPooling2D of size 2*2.
- The second layer ...
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