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mkdocs.yml
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# Project information
site_name: 'Deep Learning Wizard'
site_description: 'We try to make learning deep learning, deep bayesian learning, and deep reinforcement learning math and code easier. Used by thousands.'
site_author: 'Ritchie Ng'
site_url: 'https://www.deeplearningwizard.com/'
# Navigation
nav:
- Home: index.md
- About:
- Intro: home.md
- About Us: about.md
- Reviews: review.md
- AI Pipeline: pipeline.md
- Consultancy: consultancy.md
- Deep Learning (CPU/GPU):
- Introduction: deep_learning/intro.md
- Course Progression: deep_learning/course_progression.md
- Matrices: deep_learning/practical_pytorch/pytorch_matrices.md
- Gradients: deep_learning/practical_pytorch/pytorch_gradients.md
- Linear Regression: deep_learning/practical_pytorch/pytorch_linear_regression.md
- Logistic Regression: deep_learning/practical_pytorch/pytorch_logistic_regression.md
- Feedforward Neural Networks (FNN): deep_learning/practical_pytorch/pytorch_feedforward_neuralnetwork.md
- Convolutional Neural Networks (CNN): deep_learning/practical_pytorch/pytorch_convolutional_neuralnetwork.md
- Recurrent Neural Networks (RNN): deep_learning/practical_pytorch/pytorch_recurrent_neuralnetwork.md
- Long Short Term Memory Neural Networks (LSTM): deep_learning/practical_pytorch/pytorch_lstm_neuralnetwork.md
- Autoencoders (AE): deep_learning/practical_pytorch/pytorch_autoencoder.md
- Fully-connected Overcomplete Autoencoder (AE): deep_learning/practical_pytorch/pytorch_fc_overcomplete_ae.md
# - Fully-connected Undercomplete Autoencoder (AE): deep_learning/practical_pytorch/pytorch_fc_undercomplete_ae.md
# - Convolutional Overcomplete Variational Autoencoder (VAE): deep_learning/practical_pytorch/pytorch_autoencoder.md
# - Convolutional Overcomplete Adversarial Autoencoder (AAE): deep_learning/practical_pytorch/pytorch_autoencoder.md
# - Generative Adversarial Networks (GAN): deep_learning/practical_pytorch/pytorch_autoencoder.md
- Derivative, Gradient and Jacobian: deep_learning/boosting_models_pytorch/derivative_gradient_jacobian.md
- Forward- and Backward-propagation and Gradient Descent (From Scratch FNN Regression): deep_learning/boosting_models_pytorch/forwardpropagation_backpropagation_gradientdescent.md
- From Scratch Logistic Regression Classification: deep_learning/fromscratch/fromscratch_logistic_regression.md
- From Scratch CNN Classification: deep_learning/fromscratch/fromscratch_cnn.md
# - From Scratch RNN Classification: deep_learning/fromscratch/fromscratch_rnn_classification.md
# - From Scratch LSTM Classification: deep_learning/fromscratch/fromscratch_lstm_classification.md
# - From Scratch AE: deep_learning/fromscratch/fromscratch_ae_classification.md
- Learning Rate Scheduling: deep_learning/boosting_models_pytorch/lr_scheduling.md
- Optimization Algorithms: deep_learning/boosting_models_pytorch/optimizers.md
- Weight Initialization and Activation Functions: deep_learning/boosting_models_pytorch/weight_initialization_activation_functions.md
- Supervised Learning to Reinforcement Learning (RL): deep_learning/deep_reinforcement_learning_pytorch/supervised_to_rl.md
- Markov Decision Processes (MDP) and Bellman Equations: deep_learning/deep_reinforcement_learning_pytorch/bellman_mdp.md
- Dynamic Programming: deep_learning/deep_reinforcement_learning_pytorch/dynamic_programming_frozenlake.md
- Speed Optimization Basics Numba: deep_learning/production_pytorch/speed_optimization_basics_numba.md
- Additional Readings: deep_learning/readings.md
- Machine Learning (CPU/GPU):
- Introduction: machine_learning/intro.md
- GPU DataFrames: machine_learning/gpu/rapids_cudf.md
- GPU/CPU Fractional Differencing: machine_learning/gpu/gpu_fractional_differencing.md
# - Linear Regression: machine_learning/gpu/rapids_cudf.md
# - Ridge Regression: machine_learning/gpu/rapids_cudf.md
# - Kalman Filter: machine_learning/gpu/rapids_cudf.md
# - Stochastic Gradient Descent: machine_learning/gpu/rapids_cudf.md
# - K-nearest Neighbours Classification: machine_learning/gpu/rapids_cudf.md
# - K-Means Clustering: machine_learning/gpu/rapids_cudf.md
# - Density-Based Spatial Clustering of Applications with Noise (DBSCAN): machine_learning/gpu/rapids_cudf.md
# - Singular Value Decomposition (SVD), Dimensionality Reduction: machine_learning/gpu/rapids_cudf.md
# - Principal Component Analysis (PCA), Dimensionality Reduction: machine_learning/gpu/rapids_cudf.md
# - Uniform Manifold Approximation and Projection (UMAP), Dimensionality Reduction: machine_learning/gpu/rapids_cudf.md
- Programming:
- Introduction: programming/intro.md
- C++: programming/cpp/cpp.md
- Bash: programming/bash/bash.md
- Python: programming/python/python.md
- R: programming/r/r.md
- Javascript: programming/javascript/javascript.md
- Electron: programming/electron/electron.md
- Sympy: programming/sympy/calculus_sympy.md
- NumPy and CuPy: programming/numpycupy/linalg_numpy_cupy.md
# - Matplotlib: programming/plotting/matplotlib.md
# - Plotting:
# - Introduction: programming/plotting/intro.md
# - Out of Distribution Data:
# - Introduction: ood/intro.md
- Database:
- Introduction: database/intro.md
- Cassandra Cluster Setup: database/setting_up_cluster.md
- News:
- Welcome: news/news.md
- Fractional Differencing with GPU (GFD), DBS and NVIDIA, September 2019: news/dbs_gpu_rapids_nvidia_ensemble_frac_diff.md
- Deep Learning Introduction, Defence and Science Technology Agency (DSTA) and NVIDIA, June 2019: news/defence_and_science_technology_agency_dsta_nvidia_talk_2016_06.md
- Oral Presentation for AI for Social Good Workshop ICML, June 2019: news/detect_waterbone_debris_ai_for_social_good_icml_2019_06.md
- IT Youth Leader of The Year 2019, March 2019: news/it_youth_leader_2019_03_11.md
- AMMI (AIMS) supported by Facebook and Google, November 2018: news/ammi_facebook_google_recap_2018_11_21.md
- NExT++ AI in Healthcare and Finance, Nanjing, November 2018: news/nanjing_next_nus_tsinghua_ai_finance_healthcare_2018_11_01.md
- Recap of Facebook PyTorch Developer Conference, San Francisco, September 2018: news/facebook_pytorch_devcon_recap_2018_10_02.md
- Facebook PyTorch Developer Conference, San Francisco, September 2018: news/facebook_pytorch_developer_conference_2018_09_05.md
- NUS-MIT-NUHS NVIDIA Image Recognition Workshop, Singapore, July 2018: news/nvidia_nus_mit_datathon_2018_07_05.md
- Featured on PyTorch Website 2018: news/deep_learning_wizard_1y_2018_06_01.md
- NVIDIA Self Driving Cars & Healthcare Talk, Singapore, June 2017: news/nvidia_self_driving_cars_talk_2017_06_21.md
- NVIDIA Inception Partner Status, Singapore, May 2017: news/deep_learning_wizard_nvidia_inception_2018_05_01.md
# Configuration
theme:
name: material
custom_dir: material
static_templates:
- 404.html
# Don't include MkDocs' JavaScript
include_search_page: false
search_index_only: true
# Default values, taken from mkdocs_theme.yml
language: en
features:
- content.code.annotate
- content.tabs.link
# - header.autohide
# - navigation.expand
# - navigation.indexes
# - navigation.instant
- navigation.sections
- navigation.tabs
# - navigation.tabs.sticky
- navigation.top
- navigation.tracking
- search.highlight
- search.share
- search.suggest
# - toc.integrate
palette:
- scheme: default
primary: indigo
accent: indigo
toggle:
icon: material/toggle-switch-off-outline
name: Switch to dark mode
- scheme: slate
primary: indigo
accent: indigo
toggle:
icon: material/toggle-switch
name: Switch to light mode
font:
text: Roboto
code: Roboto Mono
favicon: ./docs/assets/favicon.ico
icon:
logo: fontawesome/regular/chart-bar
# Extensions
markdown_extensions:
- admonition
- abbr
- attr_list
- def_list
- footnotes
- meta
- md_in_html
- toc:
permalink: true
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.details
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
- pymdownx.highlight
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink:
repo_url_shorthand: true
user: squidfunk
repo: mkdocs-material
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid-experimental
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
# Equations
extra_javascript:
- 'https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML'
# Social
extra:
analytics:
provider: google
property: 'UA-122083328-1'
social:
- icon: 'fontawesome/brands/youtube'
link: 'https://www.youtube.com/channel/UCJz2MIjiCosOQCwhnsYxeEw'
- icon: 'fontawesome/brands/twitter'
link: 'https://twitter.com/deeplearningwiz'
- icon: 'fontawesome/brands/facebook'
link: 'https://www.facebook.com/DeepLearningWizard/'
- icon: 'fontawesome/brands/linkedin'
link: 'https://www.linkedin.com/company/deeplearningwizard/'
- icon: 'fontawesome/brands/github'
link: 'https://github.com/ritchieng'
disqus: 'deep-learning-wizard'
# Search
plugins:
- search
# Source to repository
repo_name: ritchieng/deep-learning-wizard
repo_url: https://github.com/ritchieng/deep-learning-wizard
# Copyright
copyright: 'Copyright © 2021 Deep Learning Wizard by Ritchie Ng'