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test static update

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Trance-0
2025-02-12 21:54:37 -06:00
parent 41b5084491
commit d9819a6fef
44 changed files with 46 additions and 46 deletions
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pages/CSE559A/CSE559A_L4.md
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@@ -129,7 +129,7 @@ Intensity image and Fourier image
Signals can be composed.
![jpeg basis](https://static.notenextra.trance-0.com/CSE559A/8x8_DCT_basis.png)
![jpeg basis](https://notenextra.trance-0.com/CSE559A/8x8_DCT_basis.png)
Note: frequency domain is often visualized using a log of the absolute value of the Fourier transform

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pages/CSE559A/CSE559A_L6.md
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@@ -118,7 +118,7 @@ BRDF dataset:
#### Digital Camera block diagram
![Digital Camera block diagram](https://static.notenextra.trance-0.com/CSE559A/DigitalCameraBlockDiagram.png)
![Digital Camera block diagram](https://notenextra.trance-0.com/CSE559A/DigitalCameraBlockDiagram.png)
Scanning protocols:

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pages/CSE559A/CSE559A_L9.md
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@@ -52,7 +52,7 @@ The adding layer is the gradient distributor layer.
The multiplying layer is the gradient switcher layer.
The max operation is the gradient router layer.
![Images of propagation](https://static.notenextra.trance-0.com/CSE559A/General_computation_graphs_for_MLP.png)
![Images of propagation](https://notenextra.trance-0.com/CSE559A/General_computation_graphs_for_MLP.png)
Simple example: Element-wise operation (ReLU)
@@ -83,7 +83,7 @@ Fully connected layer, operate on vectorized image.
With the multi-layer perceptron, the neural network trying to fit the templates.
![Flatten layer](https://static.notenextra.trance-0.com/CSE559A/Flatten_layer.png)
![Flatten layer](https://notenextra.trance-0.com/CSE559A/Flatten_layer.png)
#### Convolutional layer
@@ -91,7 +91,7 @@ Limit the receptive fields of units, tiles them over the input image, and share
Equivalent to sliding the learned filter over the image , computing dot products at each location.
![Convolutional layer](https://static.notenextra.trance-0.com/CSE559A/Convolutional_layer.png)
![Convolutional layer](https://notenextra.trance-0.com/CSE559A/Convolutional_layer.png)
Padding: Add a border of zeros around the image. (higher padding, larger output size)