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✅ Rename all module directories: 00_setup → 01_setup, etc. ✅ Update convert_modules.py mappings for new directory names ✅ Update _toc.yml file paths and titles (1-14 instead of 0-13) ✅ Regenerate all overview pages with new numbering ✅ Fix all broken references in usage-paths and intro ✅ Update chapter references to use natural numbering Benefits: - More intuitive course progression starting from 1 - Matches academic course numbering conventions - Eliminates confusion about 'Module 0' concept - Cleaner mental model for students and instructors - All references and links properly updated Complete transformation: 14 modules now numbered 01-14
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<h1>DataLoader - Data Loading and Preprocessing<a class="headerlink" href="#dataloader-data-loading-and-preprocessing" title="Permalink to this heading">#</a></h1>
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<p>Welcome to the DataLoader module! This is where you’ll learn how to efficiently load, process, and manage data for machine learning systems.</p>
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||
<li><p>Understand data pipelines as the foundation of ML systems</p></li>
|
||
<li><p>Implement efficient data loading with memory management and batching</p></li>
|
||
<li><p>Build reusable dataset abstractions for different data types</p></li>
|
||
<li><p>Master the Dataset and DataLoader pattern used in all ML frameworks</p></li>
|
||
<li><p>Learn systems thinking for data engineering and I/O optimization</p></li>
|
||
</ul>
|
||
</div>
|
||
<section id="build-use-reflect">
|
||
<h2>Build → Use → Reflect<a class="headerlink" href="#build-use-reflect" title="Permalink to this heading">#</a></h2>
|
||
<ol class="arabic simple">
|
||
<li><p><strong>Build</strong>: Create dataset classes and data loaders from scratch</p></li>
|
||
<li><p><strong>Use</strong>: Load real datasets and feed them to neural networks</p></li>
|
||
<li><p><strong>Reflect</strong>: How data engineering affects system performance and scalability</p></li>
|
||
</ol>
|
||
</section>
|
||
<section id="what-you-ll-learn">
|
||
<h2>What You’ll Learn<a class="headerlink" href="#what-you-ll-learn" title="Permalink to this heading">#</a></h2>
|
||
<p>By the end of this module, you’ll understand:</p>
|
||
<ul class="simple">
|
||
<li><p>The Dataset pattern for consistent data access</p></li>
|
||
<li><p>How DataLoaders enable efficient batch processing</p></li>
|
||
<li><p>Why batching and shuffling are crucial for ML</p></li>
|
||
<li><p>How to handle datasets larger than memory</p></li>
|
||
<li><p>The connection between data engineering and model performance</p></li>
|
||
</ul>
|
||
</section>
|
||
<section id="interactive-learning">
|
||
<h2>🚀 Interactive Learning<a class="headerlink" href="#interactive-learning" title="Permalink to this heading">#</a></h2>
|
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|
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|
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🚀 Launch Binder</div>
|
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<p class="sd-card-text">Run this module interactively in your browser. No installation required!</p>
|
||
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|
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<a class="sd-stretched-link reference external" href="https://mybinder.org/v2/gh/mlsysbook/TinyTorch/main?filepath=modules/source/06_dataloader/dataloader_dev.ipynb"></a></div>
|
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|
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|
||
⚡ Open in Colab </div>
|
||
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|
||
</div>
|
||
<a class="sd-stretched-link reference external" href="https://colab.research.google.com/github/mlsysbook/TinyTorch/blob/main/modules/source/06_dataloader/dataloader_dev.ipynb"></a></div>
|
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|
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|
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|
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📖 View Source</div>
|
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|
||
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|
||
<a class="sd-stretched-link reference external" href="https://github.com/mlsysbook/TinyTorch/blob/main/modules/source/06_dataloader/dataloader_dev.py"></a></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="tip admonition">
|
||
<p class="admonition-title">💾 Save Your Progress</p>
|
||
<p><strong>Binder sessions are temporary!</strong> Download your completed notebook when done, or switch to local development for persistent work.</p>
|
||
<p>Ready for serious development? → <a class="reference internal" href="../usage-paths/serious-development.html"><span class="doc std std-doc">🏗️ Local Setup Guide</span></a></p>
|
||
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|
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</section>
|
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|
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