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<!DOCTYPE html>
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<body class="fullcontent">
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<p align="center">
<img src="assets/arewadsimage.png">
</p>
<p>ArewaDS website: https://arewadatascience.github.io</p>
<section id="table-of-contents-arewa-dl" class="level2">
<h2 class="anchored" data-anchor-id="table-of-contents-arewa-dl">Table of Contents (Arewa DL)</h2>
<ul>
<li><a href="#arewa-deep-learning-with-pytorch-curriculum">Arewa Deep Learning with Pytorch Curriculum!</a>
<ul>
<li><a href="#objectives">Objectives:</a></li>
<li><a href="#interested-in-joining-the-fellowship">Interested in Joining the Fellowship?</a></li>
<li><a href="#contact--community">Contact & Community:</a></li>
<li><a href="#welcome-to-cohort-10-arewads-deep-learning-with-pytorch-fellowship">Welcome to Cohort 1.0 ArewaDS Deep Learning with PyTorch Fellowship</a>
<ul>
<li><a href="#fellowship-structure">Fellowship Structure</a></li>
</ul></li>
<li><a href="#graduation-requirements">Graduation Requirements</a></li>
<li><a href="#fellowship-kickoff">Fellowship Kickoff</a></li>
<li><a href="#prerequisites">Prerequisites</a></li>
<li><a href="#curriculum-breakdown">Curriculum Breakdown</a>
<ul>
<li><a href="#part-1-deep-learning-with-pytorch">Part 1: Deep Learning with PyTorch</a></li>
<li><a href="#part-2-natural-language-processing-with-pytorch">Part 2: Natural Language Processing with PyTorch</a></li>
<li><a href="#references">References</a></li>
</ul></li>
</ul></li>
</ul>
</section>
<section id="arewa-deep-learning-with-pytorch-curriculum" class="level1">
<h1>Arewa Deep Learning with Pytorch Curriculum!</h1>
<p>Welcome to the Deep Learning Course at Arewa Data Science Academy! This comprehensive course introduces you to deep learning, focusing on PyTorch, Natural Language Processing (NLP), and Computer Vision. Combining in-depth theoretical concepts with practical application, it’s tailored for beginners and those looking to enhance their knowledge in AI.</p>
<section id="objectives" class="level3">
<h3 class="anchored" data-anchor-id="objectives">Objectives:</h3>
<ul>
<li>Master deep learning principles through PyTorch.</li>
<li>Gain hands-on experience in NLP and Computer Vision.</li>
<li>Develop a portfolio of real-world deep learning projects.</li>
</ul>
</section>
<section id="interested-in-joining-the-fellowship" class="level3">
<h3 class="anchored" data-anchor-id="interested-in-joining-the-fellowship">Interested in Joining the Fellowship?</h3>
<p>Applications for Cohort 1.0 are closed, but you’re welcome to join our sessions and access materials for self-study. Stay updated on future cohorts via our social media and Telegram group.</p>
</section>
<section id="contact-community" class="level3">
<h3 class="anchored" data-anchor-id="contact-community">Contact & Community:</h3>
<ul>
<li>Website: <a href="https://arewadatascience.github.io">Arewa Data Science Official Website</a></li>
<li>Email: <a href="mailto:[email protected]">[email protected]</a></li>
<li><a href="https://twitter.com/arewadatascience">Twitter</a> | <a href="https://www.facebook.com/arewadatascience">Facebook</a> | <a href="https://www.linkedin.com/company/arewadatascience">LinkedIn</a> | <a href="https://www.youtube.com/@arewadatascienceacademy7195/videos">YouTube</a> | <a href="https://t.me/+vGZvQdggp1A4NzNk">Telegram</a></li>
</ul>
</section>
<section id="welcome-to-cohort-1.0-arewads-deep-learning-with-pytorch-fellowship" class="level2">
<h2 class="anchored" data-anchor-id="welcome-to-cohort-1.0-arewads-deep-learning-with-pytorch-fellowship">Welcome to Cohort 1.0 ArewaDS Deep Learning with PyTorch Fellowship</h2>
<p>Welcome to ArewaDS Deep Learning with Pytorch Cohort 1.0! Our fellowship offers a structured path to mastering both fundamentals and advanced concepts in deep learning.</p>
<section id="fellowship-structure" class="level3">
<h3 class="anchored" data-anchor-id="fellowship-structure">Fellowship Structure</h3>
<ul>
<li><strong><a href="#part-1-deep-learning-with-pytorch">Stage 1: Deep Learning with Pytorch</a></strong> - Fundamental and advanced topics in Deep Learning using PyTorch.</li>
<li><strong><a href="#part-2-natural-language-processing-with-pytorch">Stage 2: Natural Language Processing with Deep Learning</a></strong> - Advanced NLP techniques and applications.</li>
</ul>
</section>
</section>
<section id="graduation-requirements" class="level2">
<h2 class="anchored" data-anchor-id="graduation-requirements">Graduation Requirements</h2>
<p>To graduate, fellows must: - Complete all curriculum modules. - Submit all assignments and blog posts. - Maintain a 90% attendance rate. - Complete a capstone project approved by the ArewaDS Team.</p>
</section>
<section id="fellowship-kickoff" class="level2">
<h2 class="anchored" data-anchor-id="fellowship-kickoff">Fellowship Kickoff</h2>
<p>Find below the resources for the kickoff of the fellowship.</p>
<table class="table">
<thead>
<tr class="header">
<th>Component</th>
<th>Resource</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Accepted Fellows</td>
<td><a href="https://arewadatascience.github.io/fellows-ml-2.html">Accepted Fellows Page</a></td>
</tr>
<tr class="even">
<td>Mentor/Mentee Info</td>
<td><a href="https://github.com/arewadataScience/ArewaDS-Machine-Learning/blob/main/mentor_mentee.md">Mentor/Mentee Info</a></td>
</tr>
<tr class="odd">
<td>Communication (Telegram)</td>
<td><a href="https://github.com/arewadataScience/ArewaDS-Machine-Learning/blob/main/Stage-1-Getting-Started/telegram.md">Telegram Group Guide</a></td>
</tr>
<tr class="even">
<td>Kickoff Recording</td>
<td><a href="https://www.youtube.com/watch?v=q6sQmF_nu6U">Kickoff Recording</a></td>
</tr>
<tr class="odd">
<td>Kickoff Slides</td>
<td><a href="https://docs.google.com/presentation/d/e/2PACX-1vTz8P0kreFLhUhseaF-ipdN_iIi4AvWx8y_jVjRqrzhgt_zIKjWrqEOJf7q-RbP5dLIVrFCLZNwH8zt/pub?start=false&loop=false&delayms=3000">Kickoff Slides</a></td>
</tr>
</tbody>
</table>
</section>
<section id="prerequisites" class="level2">
<h2 class="anchored" data-anchor-id="prerequisites">Prerequisites</h2>
<ul>
<li>Basic Python programming skills.</li>
<li>Fundamental understanding of machine learning concepts.</li>
</ul>
</section>
<section id="curriculum-breakdown" class="level2">
<h2 class="anchored" data-anchor-id="curriculum-breakdown">Curriculum Breakdown</h2>
<section id="part-1-deep-learning-with-pytorch" class="level3">
<h3 class="anchored" data-anchor-id="part-1-deep-learning-with-pytorch">Part 1: Deep Learning with PyTorch</h3>
<p>Explore deep learning fundamentals using PyTorch, a leading framework for deep learning.</p>
<ul>
<li><strong>Resource</strong>: <a href="https://github.com/mrdbourke/pytorch-deep-learning">Deep Learning with PyTorch</a></li>
<li><strong>Topics Covered</strong>:
<ul>
<li>PyTorch Basics</li>
<li>Neural Networks</li>
<li>CNNs, RNNs</li>
<li>Advanced Topics: GANs, Reinforcement Learning</li>
</ul></li>
<li><strong>Projects</strong>:
<ul>
<li>Image Classification</li>
<li>Sequence Generation</li>
<li>Reinforcement Learning in Gaming</li>
</ul></li>
</ul>
</section>
<section id="part-2-natural-language-processing-with-pytorch" class="level3">
<h3 class="anchored" data-anchor-id="part-2-natural-language-processing-with-pytorch">Part 2: Natural Language Processing with PyTorch</h3>
<p>Delve into NLP using PyTorch, guided by the Stanford course, CS224N.</p>
<ul>
<li><strong>Resource</strong>: <a href="https://web.stanford.edu/class/cs224n/">Stanford CS224N</a></li>
<li><strong>Topics Covered</strong>:
<ul>
<li>Text Processing</li>
<li>Word Vectors</li>
<li>Neural Networks for NLP</li>
<li>Language Models</li>
<li>Applications in Sentiment Analysis and Machine Translation</li>
</ul></li>
<li><strong>Projects</strong>:
<ul>
<li>Sentiment Analysis Model</li>
<li>Neural Machine Translation System</li>
<li>Chatbot Development</li>
</ul></li>
</ul>
</section>
<section id="references" class="level3">
<h3 class="anchored" data-anchor-id="references">References</h3>
<ul>
<li><a href="https://github.com/mrdbourke/pytorch-deep-learning">Deep Learning with PyTorch</a></li>
</ul>
</section>
</section>
</section>
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