Andy Pack
abbd7bba68
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47 lines
991 B
Markdown
47 lines
991 B
Markdown
---
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tags:
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- ai
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---
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# LeNet
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- 1990's
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![lenet-1989](../../../img/lenet-1989.png)
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- 1989
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![lenet-1998](../../../img/lenet-1998.png)
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- 1998
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# AlexNet
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2012
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- [ReLu](../Activation%20Functions.md#ReLu)
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- Normalisation
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![alexnet](../../../img/alexnet.png)
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# VGG
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2015
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- 16 layers over AlexNet's 8
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- Looking at vanishing gradient problem
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- Xavier
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- Similar kernel size throughout
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- Gradual filter increase
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![vgg-spec](../../../img/vgg-spec.png)
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![vgg-arch](../../../img/vgg-arch.png)
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# GoogLeNet
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2015
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- [Inception Layer](Inception%20Layer.md)s
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- Multiple [Loss](../Deep%20Learning.md#Loss%20Function) Functions
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![googlenet](../../../img/googlenet.png)
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## [Inception Layer](Inception%20Layer.md)
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![googlenet-inception](../../../img/googlenet-inception.png)
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## Auxiliary [Loss](../Deep%20Learning.md#Loss%20Function) Functions
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- Two other SoftMax blocks
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- Help train really deep network
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- Vanishing gradient problem
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![googlenet-auxilliary-loss](../../../img/googlenet-auxilliary-loss.png) |