Lu, Yukuan

Sources:

1. Bernard Kolman, Robert C. Busby & Sharon Cutler Ros. (2014). Functions. Discrete Mathematical Structures (6th ed., pp. 206-246). Pearson.
2. John Hubbard; Barbara Burke Hubbard. (2015). Vector calculus, linear algebra, and differential forms: A unified approach (5th ed., pp. 9-11). Matrix Editions.

In this section we define the notion of a function, a special type of relation.

In 3-D Euclidean space, a sphere can be locally approximated as a plane. The proof is as follows.

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

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