November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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CapsNet implementation
The CapsNet architecture consists of two parts, each consisting of three layers. The first three layers are encoders, while the next three layers are decoders:
|
Layer Num |
Layer Name |
Layer Type |
|
1 |
Convolutional Layer |
Encoder |
|
2 |
PrimaryCaps Layer |
Encoder |
|
3 |
DigitCaps Layer |
Encoder |
|
4 |
Fully Connected Layer 1 |
Decoder |
|
5 |
Fully Connected Layer 2 |
Decoder |
|
6 |
Fully Connecter Layer 3 |
Decoder |
Let's try to understand these layers in detail.
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