Lu, Yukuan

Sources:

1. Deconvolution 2013 paper
2. Guided Backpropagation 2015 paperhttps://arxiv.org/abs/1412.6806)

Code: Jax Feature Attribution Methods

Sources:

1. Grad CAM (and Guided Grad CAM) 2015 paper
2. CAM 2015 paper (Bolei Zhou)
3. Guided Backpropagation

Code: Jax Feature Attribution Methods

Sources:

1. Logical Volume Manager (LVM) versus standard partitioning in Linux

->Image source

Sources:

1. Logical Volume Manager (LVM) versus standard partitioning in Linux

The note is an over-simplified brief about manifold learning in AI.

Source:

1. Yubei Chen's talk on unsupervised learning.
2. Nonlinear Dimensionality Reduction by Locally Linear Embedding 2000 paper.

Most of the figures in this article are sourced from Yubei Chen's course, EEC289A, at UC Davis.

Source:

1. Yubei Chen's talk on unsupervised learning.

Most of the figures in this article are sourced from Yubei Chen's course, EEC289A, at UC Davis.

TL;DR: In a convolution layer, \[ \text { Output size }=\left\lfloor\frac{\text { Input size }+2 \times \text { Padding }- \text { Kernel size }}{\text { Stride }}\right\rfloor+1 \]

Sources:

1. Convolutional Neural Networks from d2l

Source:

1. ResNet tutorial from UvA

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