-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathzensical.toml
More file actions
121 lines (112 loc) · 5.16 KB
/
zensical.toml
File metadata and controls
121 lines (112 loc) · 5.16 KB
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
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
[project]
site_name = "Deep Learning Course"
site_description = "Deep Learning Course"
site_author = "Daniel Bazo Correa"
site_url = "https://danibcorr.github.io/unie-deep-learning/"
repo_url = "https://github.com/danibcorr/unie-deep-learning"
repo_name = "unie-deep-learning"
copyright = "Copyright © 2026 Daniel Bazo Correa"
extra_css = ["stylesheets/extra.css"]
extra_javascript = [
"javascripts/mathjax.js",
"https://unpkg.com/mathjax@3/es5/tex-mml-chtml.js"
]
nav = [
{"Home" = "index.md"},
{"Course" = [
{"Initial Concepts" = [
{"Introduction" = "course/topic_01_initial_concepts/introduction.md"},
{"Python Environment" = "course/topic_01_initial_concepts/section_01_environment.md"},
{"Data Structures" = "course/topic_01_initial_concepts/section_02_data_structures.md"},
{"Libraries and Software Design" = "course/topic_01_initial_concepts/section_03_python_libraries_oop.md"},
]},
{"Mathematics" = [
{"Introduction" = "course/topic_02_mathematics/introduction.md"},
{"Data Structures" = "course/topic_02_mathematics/section_01_data_structures.md"},
{"Basic Maths" = "course/topic_02_mathematics/section_02_basic_maths.md"},
{"Mathematical Concepts" = "course/topic_02_mathematics/section_03_mathematical_concepts.md"},
]},
{"Applications" = [
{"Neural Networks" = "course/topic_03_applications/section_01_artificial_neuron.md"},
{"Gradient Descent" = "course/topic_03_applications/section_02_gradient_descent.md"},
{"Regularization" = "course/topic_03_applications/section_03_regularization_techniques.md"},
{"Optimizers" = "course/topic_03_applications/section_04_optimizers.md"},
]},
{"Computer Vision" = [
{"Introduction" = "course/topic_04_computer_vision/introduction.md"},
{"Image Processing" = "course/topic_04_computer_vision/section_01_image_processing.md"},
{"Normalization" = "course/topic_04_computer_vision/section_02_normalization.md"},
{"Convolutional Layers" = "course/topic_04_computer_vision/section_03_convolutional_layer.md"},
{"LeNet" = "course/topic_04_computer_vision/section_04_lenet.md"},
{"VGG" = "course/topic_04_computer_vision/section_05_vgg.md"},
{"ResNet" = "course/topic_04_computer_vision/section_06_resnet.md"},
{"Transfer Learning" = "course/topic_04_computer_vision/section_07_transfer_learning.md"},
{"Auto Encoders" = "course/topic_04_computer_vision/section_08_autoencoders.md"},
{"Attention" = "course/topic_04_computer_vision/section_09_attention.md"},
{"Interpretability" = "course/topic_04_computer_vision/section_10_interpretability.md"},
]},
{"Sequential Models" = [
{"Introduction" = "course/topic_05_sequential_models/introduction.md"},
{"Tokenization" = "course/topic_05_sequential_models/section_01_tokenization.md"},
{"Recurrent Neural Networks" = "course/topic_05_sequential_models/section_02_rnn.md"},
{"Long Short Term Memory" = "course/topic_05_sequential_models/section_03_lstm.md"},
{"Auto Encoders" = "course/topic_05_sequential_models/section_04_autoencoders.md"},
{"Transformers" = "course/topic_05_sequential_models/section_05_transformers.md"},
{"Mixture of Experts" = "course/topic_05_sequential_models/section_06_moe.md"},
]},
{"Graph Models" = [
{"Introduction" = "course/topic_06_graphs_models/introduction.md"},
{"Basic Graphs" = "course/topic_06_graphs_models/section_01_gnns.md"},
{"PyTorch Geometric" = "course/topic_06_graphs_models/section_02_pytorch_geometric.md"},
]},
]},
]
[project.theme]
language = "en"
features = [
"announce.dismiss",
"content.code.annotate",
"content.code.copy",
"content.code.select",
"content.footnote.tooltips",
"content.tabs.link",
"content.tooltips",
"navigation.footer",
"navigation.indexes",
"navigation.instant",
"navigation.instant.prefetch",
"navigation.sections",
"navigation.top",
"navigation.tracking",
"search.highlight",
]
[project.theme.icon]
repo = "fontawesome/brands/github"
[[project.theme.palette]]
media = "(prefers-color-scheme: dark)"
scheme = "slate"
primary = "black"
accent = "black"
[project.theme.palette.toggle]
icon = "material/weather-sunny"
name = "Switch to light mode"
[[project.theme.palette]]
media = "(prefers-color-scheme: light)"
scheme = "default"
primary = "black"
accent = "black"
[project.theme.palette.toggle]
icon = "material/weather-night"
name = "Switch to dark mode"
[project.markdown_extensions.admonition]
[project.markdown_extensions.pymdownx.details]
[project.markdown_extensions.pymdownx.superfences]
[project.markdown_extensions.attr_list]
[project.markdown_extensions.md_in_html]
[project.markdown_extensions.abbr]
[project.markdown_extensions.pymdownx.snippets]
[project.markdown_extensions.pymdownx.arithmatex]
generic = true
[[project.extra.social]]
icon = "fontawesome/brands/linkedin"
link = "https://www.linkedin.com/in/danibcorr/"