-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
53 lines (48 loc) · 2.08 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
<!DOCTYPE html>
<html>
<body></section>
<div class="slides">
<h1>Deep-Learning</h1>
<section id="title-slide">
<h1 class="title">Deep Learning: A Practical Guide</h1>
<p class="author">Samreh Samadi</p>
<p class="date">June 26, 2020</p>
<p>Here you can see what I have learnt in my work about deep learning.
For me it's good to summerize and categorize my knowledge and it may help you go through your career or study. The greatest idea behind this page is that I think we
need some expert reviewer as much as we need pioneers.</p>
<a href="https://www.tensorflow.org/tutorials/generative/dcgan">This is a link</a> <div class="reveal">
</section>
<section id="GAN-slide">
<h1 class="title">General Adversarial Network: A Practical Guide</h1>
<p class="author">Samreh Samadi</p>
<p class="date">June 26, 2020</p>
</section>
<section id="GAN" class="slide level2">
<h2>General Adversarial Network: A Practical Guide<</h2>
<p>Samareh Samadi</p>
<p><a href="http://www.mechatronics3d.com">www.Mechatronics3D.com</a></p>
<p>June 25, 2020</p>
<p><span class="math inline">\(\DeclareMathOperator{\sign}{sgn} \newcommand{\CO}{\textbf{\rm conv}} \newcommand{\RR}{{\mathcal R}} \newcommand{\RE}{\mathbb{R}} \newcommand{\TR}{\text{T}} \newcommand{\beq}{\begin{equation}} \newcommand{\eeq}{\end{equation}} \newcommand{\bmat}{\left[\begin{array}} \newcommand{\emat}{\end{array}\right]} \newcommand{\bsmat}{\left[\begin{smallmatrix}} \newcommand{\esmat}{\end{smallmatrix}\right]} \newcommand{\barr}{\begin{array}} \newcommand{\earr}{\end{array}} \newcommand{\bsm}{\begin{smallmatrix}} \newcommand{\esm}{\end{smallmatrix}}\)</span></p>
</section>
<section id="outline" class="slide level2">
<h2>Outline</h2>
<ol type="1">
<li><p>Introduction</p></li>
<li><p>Cyclic GAN</p></li>
<li><p>Conditional GAN</p></li>
<li><p>Star GAN</p>
<ul>
<li><p>Linear program</p></li>
<li><p>Quadratic program</p></li>
<li><p>Second order cone program</p></li>
<li><p>Semidefinite program</p></li>
</ul></li>
<li><p>Applications</p>
<ul>
<li><p>Stability</p></li>
<li><p>Dissipativity</p></li>
</ul></li>
</ol>
</section>
</body>
</html>