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# inzvaDSLG

<table>
<thead>
<tr>
<th>Weeks</th>
<th>Course Name</th>
<th>Topic</th>
<th>Bundle</th>
<th>Slide</th>
<th>Notebooks</th>
<th>Recommended Links</th>
</tr>
</thead>
<tbody>
<tr>
<th colspan=7> inzva Deep Learning Study Group</th>
</tr>
<tr>
<td style="text-align: center;"rowspan=2> <b>w1</b> </td>
<td style="text-align: center;"rowspan=2>Introduction to inzva DLSG</td>
<td>Introduction to the Course</td>
<td style="text-align: center;"rowspan=2><a href="">link</a></td>
<td style="text-align: center;"rowspan=2><a href="">link</a></td>
<td style="text-align: center;"rowspan=2><a href="">link</a></td>
<td> </td>

</tr>
<tr>
<td>Introduction to Neural Networks</td>
<td>
<a href="https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi">[3b1b-1]</a> <br>
<a href="https://www.youtube.com/watch?v=IHZwWFHWa-w&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=2">[3b1b-2]</a> <br>
<a href="https://www.youtube.com/watch?v=Ilg3gGewQ5U&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=3">[3b1b-3]</a> <br>
<a href="https://www.youtube.com/watch?v=tIeHLnjs5U8&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=4">[3b1b-4]</a> <br>
<a href="https://gaoxiangluo.github.io/2020/09/27/Visual-and-Rigorous-Proof-of-Universal-Approximation-Theorem-UAT/">[UAT]</a>
</td>
</tr>
<tr>
<td style="text-align: center;"> <b>w2</b> </td>
<td style="text-align: center;"rowspan=2>Improving Deep Neural Networks:
Hyperparameter tuning, Regularization and Optimization</td>
<td>Hyperparameter Tuning and Regularization Methods</td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<td style="text-align: center;"> <b>w3</b> </td>
<td>Optimization Algorithms</td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<th colspan=7> Homework-1</th>
</tr>
<tr>
<td style="text-align: center;"> <b>w4</b> </td>
<td style="text-align: center;"rowspan=6>Neural Network Architectures and Common Tasks in Deep Learning</td>
<td rowspan=2>Convolutional Neural Networks with Common Tasks: Image Classification, Object Detection, Image Segmentation</td>
<td rowspan=2><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="https://www.youtube.com/watch?v=KuXjwB4LzSA&t=566s">[3b1b-5]</a>
<a href="https://www.youtube.com/watch?v=IaSGqQa5O-M">[3b1b-6]</a>
<a href="https://www.youtube.com/watch?v=pj9-rr1wDhM">[F]</a>
<a href="https://www.youtube.com/watch?v=jDe5BAsT2-Y">[4]</a></td>

</tr>
<tr>
<td style="text-align: center;"> <b>w5</b> </td>

<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<td style="text-align: center;"> <b>w6</b> </td>
<td rowspan=2>Recurrent Neural Networks with Common Tasks: Natural Language Processing, Forecasting for Time Series</td>
<td rowspan=2 ><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<td style="text-align: center;"> <b>w7</b> </td>

<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<td style="text-align: center;"> <b>w8</b> </td>
<td rowspan=2 >Transformers with Common Tasks: Machine Translation, Image Classification</td>
<td rowspan=2 ><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td>
<a href="https://jalammar.github.io/illustrated-transformer/">[IT]</a>
<br>
<a href="https://www.youtube.com/watch?v=yGTUuEx3GkA&t=1s">[RASA-1]</a>
<br>
<a href="https://www.youtube.com/watch?v=tIvKXrEDMhk">[RASA-2]</a>
<br>
<a href="https://www.youtube.com/watch?v=23XUv0T9L5c">[RASA-3]</a>
<br>
<a href="https://www.youtube.com/watch?v=EXNBy8G43MM">[RASA-4]</a>
<br>
<a href="https://www.youtube.com/watch?v=eMlx5fFNoYc">[ATN-3b1b]</a>
</td>
</tr>
<tr>
<td style="text-align: center;"> <b>w9</b> </td>

<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td>
<a href="https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/">[NMT]</a>
</td>
</tr>
<tr>
<th colspan=7> Homework-2</th>
</tr>
<tr>
<td style="text-align: center;"> <b>w10</b> </td>
<td rowspan=3> Trend Topics in Deep Learning</td>
<td rowspan=1> Generative Models (VAEs, Diffusion Models)</td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<td style="text-align: center;"> <b>w11</b> </td>
<td rowspan=1> Introduction to Large Language Models (LLMs) </td>
<td><a href=""></a></td>
<td><a href="">link</a></td>
<td><a href="">link</a></td>
<td><a href="">[1]</a> <a href="">[2]</a></td>
</tr>
<tr>
<th colspan=7> Graduation Homework </th>
</tr>
</tbody>
</table>
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