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Affected files: STEM/AI/Neural Networks/CNN/Examples.md STEM/AI/Neural Networks/CNN/FCN/FCN.md STEM/AI/Neural Networks/CNN/FCN/ResNet.md STEM/AI/Neural Networks/CNN/FCN/Skip Connections.md STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md STEM/AI/Neural Networks/CNN/GAN/GAN.md STEM/AI/Neural Networks/CNN/Interpretation.md STEM/AI/Neural Networks/CNN/UpConv.md STEM/AI/Neural Networks/Deep Learning.md STEM/AI/Neural Networks/MLP/MLP.md STEM/AI/Neural Networks/Properties+Capabilities.md STEM/AI/Neural Networks/SLP/Least Mean Square.md STEM/AI/Neural Networks/SLP/SLP.md STEM/AI/Neural Networks/Transformers/Transformers.md STEM/AI/Properties.md STEM/CS/Language Binding.md STEM/CS/Languages/dotNet.md STEM/Signal Proc/Image/Image Processing.md
43 lines
970 B
Markdown
43 lines
970 B
Markdown
# LeNet
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- 1990's
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- 1989
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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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# 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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# 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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## [Inception Layer](Inception%20Layer.md)
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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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