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diff --git a/README.md b/README.md
@@ -2,4 +2,4 @@
 
 ### Disclaimer: All the rights of these codes and resources belong to their original authors. I am compiling a collection for self-learning purposes and to build tools by myself using the knowledge.
 
-I learned how to build these notes like as Jupyter-book thanks to this source repository on [Hands-On Mathematical Optimization with Python](https://github.com/mobook/MO-book) and the [Jupyter Book](https://jupyterbook.org/en/stable/start/build.html) official page on how to build beautiful, publication-quality books and documents from computational content.
+I learned how to build these notes like a Jupyter-book thanks to this source repository on [Hands-On Mathematical Optimization with Python](https://github.com/mobook/MO-book) and the [Jupyter Book](https://jupyterbook.org/en/stable/start/build.html) official page on how to build beautiful, publication-quality books and documents from computational content.
diff --git a/_build/.doctrees/environment.pickle b/_build/.doctrees/environment.pickle
diff --git a/_build/.doctrees/intro.doctree b/_build/.doctrees/intro.doctree
diff --git a/_build/.doctrees/notebooks/00/00.doctree b/_build/.doctrees/notebooks/00/00.doctree
diff --git a/_build/html/_sources/intro.md b/_build/html/_sources/intro.md
@@ -1,27 +1,32 @@
 # {ml-nn-zero2hero}
 
 :::{admonition} Disclaimer
-:class: warning
+:class: important
  All the rights of these codes and resources belong to their original authors. I am compiling a collection for self-learning purposes and to build tools by myself using the knowledge.
 :::
 
 Welcome to **Collection of notes on {ml.nn-zero2hero}**. This repository includes notes and learnings following the Youtube Playlist on [nn_zero_to_hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) guide by Andrej Karpathy and the open-source notebooks available from the book on [Hands-On Machine Learning and Deep Learning](https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/) by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. For great visual understanding, the videos on the Youtube Channel [3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi) are quite helpful as well.
 
 Other resources include (but not limited to),
 - The [DeepLearning.ai](https://deeplearning.ai/) courses on the Machine Learning / Deep Learning Specialization by Andrew Ng
+- The [MIT Deep Learning book](https://www.deeplearningbook.org/) by Ian Goodfellow and Yoshua Bengio and Aaron Courville
 - Online book on [Model-based Machine Learning](https://mbmlbook.com/) by John Winn
+- Nvidia's [Learning Deep Learning](https://www.nvidia.com/en-us/training/books/) by Magnus Ekman
 - [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) by Christopher Bishop
 - [Hands-On Mathematical Optimization with Python](https://github.com/mobook/MO-book) by The MO Book Group
 
-```{note}
-The goals of this collection of notebooks are to:
-
+```{note} The goals of this collection of notebooks are to:
 * Grasp the foundations for hands-on machine learning and deep learning in an elegant approach
 * Have fun while learning and compiling notes and eventually end in a culmination of work
 * Help readers to easily navigate the learning experience with a good compilation on notes on the subject
 * Demonstrate the use of SOTA tools and concepts for documenting beautiful publication-quality work
 ```
 
+:::{admonition} Personal Goal
+:class: tip 
+I want to publish my work at [NuerIPS 2025](https://nips.cc/) :)
+:::
+
 ### Pre-requisites
 
 - Python 3.9 or above (preferably on VSCode)
@@ -37,4 +42,7 @@ The goals of this collection of notebooks are to:
 
 
 Get started
-```
+```
+
+
+https://nips.cc/Conferences/2024/CallForPapers
diff --git a/_build/html/_sources/notebooks/00/00.md b/_build/html/_sources/notebooks/00/00.md
@@ -5,8 +5,18 @@
 - matplotlib
 - pandas
 - scikit-learn
-- tensorflow2
+- [tensorflow2](https://www.tensorflow.org/tutorials/quickstart/beginner)
 - keras
 
+Some math:
+
+$$
+P(A_1 \cup A_2 \cup A_3)
+& = P(B \cup A_3)  \\
+& = P(B) + P(A_3) - P(BA_3) \\
+&= P(A_1) + P(A_2) - P(A_1A_2) + P(A_3) - P(A_1A_3 \cup A_2A_3) \\
+&= \sum_{i=1}^3 P(A_i) - \mathop{\sum \sum}_{1 \le i < j \le 3} P(A_iA_j) + P(A_1A_2A_3)
+$$
+
 ```{tableofcontents}
 ```
diff --git a/_build/html/genindex.html b/_build/html/genindex.html
@@ -212,6 +212,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/intro.html b/_build/html/intro.html
@@ -57,6 +57,8 @@
     <script async="async" src="_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/[email protected]/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'intro';</script>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
@@ -214,6 +216,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">
@@ -440,15 +443,17 @@ <h2> Contents </h2>
 
   <section class="tex2jax_ignore mathjax_ignore" id="ml-nn-zero2hero">
 <h1>{ml-nn-zero2hero}<a class="headerlink" href="#ml-nn-zero2hero" title="Link to this heading">#</a></h1>
-<div class="warning admonition">
+<div class="important admonition">
 <p class="admonition-title">Disclaimer</p>
 <p>All the rights of these codes and resources belong to their original authors. I am compiling a collection for self-learning purposes and to build tools by myself using the knowledge.</p>
 </div>
 <p>Welcome to <strong>Collection of notes on {ml.nn-zero2hero}</strong>. This repository includes notes and learnings following the Youtube Playlist on <a class="reference external" href="https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ">nn_zero_to_hero</a> guide by Andrej Karpathy and the open-source notebooks available from the book on <a class="reference external" href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/">Hands-On Machine Learning and Deep Learning</a> by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. For great visual understanding, the videos on the Youtube Channel <a class="reference external" href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi">3Blue1Brown</a> are quite helpful as well.</p>
 <p>Other resources include (but not limited to),</p>
 <ul class="simple">
 <li><p>The <a class="reference external" href="https://deeplearning.ai/">DeepLearning.ai</a> courses on the Machine Learning / Deep Learning Specialization by Andrew Ng</p></li>
+<li><p>The <a class="reference external" href="https://www.deeplearningbook.org/">MIT Deep Learning book</a> by Ian Goodfellow and Yoshua Bengio and Aaron Courville</p></li>
 <li><p>Online book on <a class="reference external" href="https://mbmlbook.com/">Model-based Machine Learning</a> by John Winn</p></li>
+<li><p>Nvidia’s <a class="reference external" href="https://www.nvidia.com/en-us/training/books/">Learning Deep Learning</a> by Magnus Ekman</p></li>
 <li><p><a class="reference external" href="https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf">Pattern Recognition and Machine Learning</a> by Christopher Bishop</p></li>
 <li><p><a class="reference external" href="https://github.com/mobook/MO-book">Hands-On Mathematical Optimization with Python</a> by The MO Book Group</p></li>
 </ul>
@@ -462,6 +467,10 @@ <h1>{ml-nn-zero2hero}<a class="headerlink" href="#ml-nn-zero2hero" title="Link t
 <li><p>Demonstrate the use of SOTA tools and concepts for documenting beautiful publication-quality work</p></li>
 </ul>
 </div>
+<div class="tip admonition">
+<p class="admonition-title">Personal Goal</p>
+<p>I want to publish my work at <a class="reference external" href="https://nips.cc/">NuerIPS 2025</a> :)</p>
+</div>
 <section id="pre-requisites">
 <h2>Pre-requisites<a class="headerlink" href="#pre-requisites" title="Link to this heading">#</a></h2>
 <ul class="simple">
@@ -476,6 +485,7 @@ <h2>Pre-requisites<a class="headerlink" href="#pre-requisites" title="Link to th
 </ul>
 <p><a class="sd-sphinx-override sd-btn sd-text-wrap sd-btn-primary sd-rounded-pill float-left reference internal" href="notebooks/00/00.html"><span class="doc">
 Get started</span></a></p>
+<p><a class="reference external" href="https://nips.cc/Conferences/2024/CallForPapers">https://nips.cc/Conferences/2024/CallForPapers</a></p>
 </section>
 <div class="toctree-wrapper compound">
 </div>

diff --git a/_build/html/notebooks/00/00.html b/_build/html/notebooks/00/00.html
@@ -57,6 +57,8 @@
     <script async="async" src="../../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/[email protected]/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'notebooks/00/00';</script>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
@@ -213,6 +215,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">
@@ -446,9 +449,18 @@ <h2>Packages<a class="headerlink" href="#packages" title="Link to this heading">
 <li><p>matplotlib</p></li>
 <li><p>pandas</p></li>
 <li><p>scikit-learn</p></li>
-<li><p>tensorflow2</p></li>
+<li><p><a class="reference external" href="https://www.tensorflow.org/tutorials/quickstart/beginner">tensorflow2</a></p></li>
 <li><p>keras</p></li>
 </ul>
+<p>Some math:</p>
+<div class="math notranslate nohighlight">
+\[\begin{split}
+P(A_1 \cup A_2 \cup A_3)
+&amp; = P(B \cup A_3)  \\
+&amp; = P(B) + P(A_3) - P(BA_3) \\
+&amp;= P(A_1) + P(A_2) - P(A_1A_2) + P(A_3) - P(A_1A_3 \cup A_2A_3) \\
+&amp;= \sum_{i=1}^3 P(A_i) - \mathop{\sum \sum}_{1 \le i &lt; j \le 3} P(A_iA_j) + P(A_1A_2A_3)
+\end{split}\]</div>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="NB_0_1.html">Section 0.1 - Mathematics for Machine Learning</a></li>

diff --git a/_build/html/notebooks/01/01.html b/_build/html/notebooks/01/01.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/notebooks/02/02.html b/_build/html/notebooks/02/02.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/notebooks/03/03.html b/_build/html/notebooks/03/03.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/notebooks/04/04.html b/_build/html/notebooks/04/04.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="current nav bd-sidenav">

diff --git a/_build/html/notebooks/05/05.html b/_build/html/notebooks/05/05.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="current nav bd-sidenav">

diff --git a/_build/html/notebooks/06/06.html b/_build/html/notebooks/06/06.html
@@ -212,6 +212,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="current nav bd-sidenav">

diff --git a/_build/html/notebooks/07/07.html b/_build/html/notebooks/07/07.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/notebooks/08/08.html b/_build/html/notebooks/08/08.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/notebooks/09/09.html b/_build/html/notebooks/09/09.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/notebooks/10/10.html b/_build/html/notebooks/10/10.html
@@ -213,6 +213,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">

diff --git a/_build/html/search.html b/_build/html/search.html
@@ -214,6 +214,7 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/NVDLI/LDL/">github:learning-deep-learning</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
 <ul class="nav bd-sidenav">
Original file line number	Diff line number	Diff line change
Expand Up		@@ -2,4 +2,4 @@

		### Disclaimer: All the rights of these codes and resources belong to their original authors. I am compiling a collection for self-learning purposes and to build tools by myself using the knowledge.

		I learned how to build these notes like as Jupyter-book thanks to this source repository on [Hands-On Mathematical Optimization with Python](https://github.com/mobook/MO-book) and the [Jupyter Book](https://jupyterbook.org/en/stable/start/build.html) official page on how to build beautiful, publication-quality books and documents from computational content.
		I learned how to build these notes like a Jupyter-book thanks to this source repository on [Hands-On Mathematical Optimization with Python](https://github.com/mobook/MO-book) and the [Jupyter Book](https://jupyterbook.org/en/stable/start/build.html) official page on how to build beautiful, publication-quality books and documents from computational content.