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6b7a176ad9
- Changed author from 'TinyTorch Team' to 'Vijay Janapa Reddi, Harvard University' - Removed copyright notice (© Copyright 2025) - Updated book title to match new tagline - Footer now shows clean author attribution without copyright clutter
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Tiny🔥Torch: Build your own Machine Learning framework from scratch.
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommended-exploration-path">📚 Recommended Exploration Path</a><ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#start-here-chapter-1-setup"><strong>Start Here: Chapter 1 - Setup</strong></a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#then-try-chapter-3-activations"><strong>Then Try: Chapter 3 - Activations</strong></a></li>
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<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#build-up-chapter-4-layers"><strong>Build Up: Chapter 4 - Layers</strong></a></li>
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</ul>
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|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#important-limitations">⚠️ <strong>Important Limitations</strong></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#what-you-ll-understand">🎯 <strong>What You’ll Understand</strong></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#next-steps">🔄 <strong>Next Steps</strong></a></li>
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<article class="bd-article">
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<section class="tex2jax_ignore mathjax_ignore" id="quick-exploration-path">
|
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<h1>🔬 Quick Exploration Path<a class="headerlink" href="#quick-exploration-path" title="Link to this heading">#</a></h1>
|
||
<p><strong>Perfect for:</strong> “I want to see what this is about” • “Can I try this without installing anything?”</p>
|
||
<hr class="docutils" />
|
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<section id="launch-immediately-0-setup-required">
|
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<h2>🚀 Launch Immediately (0 Setup Required)<a class="headerlink" href="#launch-immediately-0-setup-required" title="Link to this heading">#</a></h2>
|
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<p>Click the <strong>🚀 Launch Binder</strong> button on any chapter to get:</p>
|
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<ul class="simple">
|
||
<li><p>Live Jupyter environment in your browser</p></li>
|
||
<li><p>Pre-configured TinyTorch development setup</p></li>
|
||
<li><p>Ability to run and modify all code immediately</p></li>
|
||
<li><p>No installation, no account creation needed</p></li>
|
||
</ul>
|
||
<div class="tip admonition">
|
||
<p class="admonition-title">What You’ll Experience</p>
|
||
<p><strong>5 minutes from now</strong>, you’ll be implementing real ML components:</p>
|
||
<ul class="simple">
|
||
<li><p><strong>ReLU activation function</strong> from scratch</p></li>
|
||
<li><p><strong>Tensor operations</strong> that power neural networks</p></li>
|
||
<li><p><strong>Dense layers</strong> that transform data</p></li>
|
||
<li><p><strong>Complete neural networks</strong> for image classification</p></li>
|
||
</ul>
|
||
<p>All running live in your browser!</p>
|
||
</div>
|
||
</section>
|
||
<hr class="docutils" />
|
||
<section id="recommended-exploration-path">
|
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<h2>📚 Recommended Exploration Path<a class="headerlink" href="#recommended-exploration-path" title="Link to this heading">#</a></h2>
|
||
<section id="start-here-chapter-1-setup">
|
||
<h3><strong>Start Here: Chapter 1 - Setup</strong><a class="headerlink" href="#start-here-chapter-1-setup" title="Link to this heading">#</a></h3>
|
||
<ul class="simple">
|
||
<li><p>Understand the TinyTorch development workflow</p></li>
|
||
<li><p>Get familiar with the educational approach</p></li>
|
||
<li><p>See how components fit together</p></li>
|
||
</ul>
|
||
<p><strong>🚀 <a class="reference internal" href="../chapters/01-setup.html"><span class="std std-doc">Launch Setup Chapter</span></a></strong></p>
|
||
</section>
|
||
<section id="then-try-chapter-3-activations">
|
||
<h3><strong>Then Try: Chapter 3 - Activations</strong><a class="headerlink" href="#then-try-chapter-3-activations" title="Link to this heading">#</a></h3>
|
||
<ul class="simple">
|
||
<li><p>Implement your first ML function (ReLU)</p></li>
|
||
<li><p>See immediate visual results</p></li>
|
||
<li><p>Understand why nonlinearity matters</p></li>
|
||
</ul>
|
||
<p><strong>🚀 <a class="reference internal" href="../chapters/03-activations.html"><span class="std std-doc">Launch Activations Chapter</span></a></strong></p>
|
||
</section>
|
||
<section id="build-up-chapter-4-layers">
|
||
<h3><strong>Build Up: Chapter 4 - Layers</strong><a class="headerlink" href="#build-up-chapter-4-layers" title="Link to this heading">#</a></h3>
|
||
<ul class="simple">
|
||
<li><p>Create the building blocks of neural networks</p></li>
|
||
<li><p>Combine your ReLU with matrix operations</p></li>
|
||
<li><p>See how simple math becomes powerful AI</p></li>
|
||
</ul>
|
||
<p><strong>🚀 <a class="reference internal" href="../chapters/04-layers.html"><span class="std std-doc">Launch Layers Chapter</span></a></strong></p>
|
||
</section>
|
||
</section>
|
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<hr class="docutils" />
|
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<section id="important-limitations">
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<h2>⚠️ <strong>Important Limitations</strong><a class="headerlink" href="#important-limitations" title="Link to this heading">#</a></h2>
|
||
<p><strong>Sessions are temporary:</strong></p>
|
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<ul class="simple">
|
||
<li><p>Binder sessions timeout after ~20 minutes of inactivity</p></li>
|
||
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|
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|
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|
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<p><strong>For persistent work:</strong> Ready to build your own TinyTorch? → <strong><a class="reference internal" href="serious-development.html"><span class="std std-doc">Serious Development Path</span></a></strong></p>
|
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|
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<hr class="docutils" />
|
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<section id="what-you-ll-understand">
|
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<h2>🎯 <strong>What You’ll Understand</strong><a class="headerlink" href="#what-you-ll-understand" title="Link to this heading">#</a></h2>
|
||
<p>After exploring 2-3 chapters, you’ll have hands-on understanding of:</p>
|
||
<p>✅ <strong>How ML frameworks work under the hood</strong><br />
|
||
✅ <strong>Why activation functions are crucial</strong><br />
|
||
✅ <strong>How matrix multiplication powers neural networks</strong><br />
|
||
✅ <strong>The relationship between layers, networks, and learning</strong><br />
|
||
✅ <strong>Real implementation vs. high-level APIs</strong></p>
|
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|
||
<hr class="docutils" />
|
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<section id="next-steps">
|
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<h2>🔄 <strong>Next Steps</strong><a class="headerlink" href="#next-steps" title="Link to this heading">#</a></h2>
|
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<p><strong>Satisfied with exploration?</strong> You’ve gained valuable insight into ML systems!</p>
|
||
<p><strong>Want to build more?</strong> → <strong><a class="reference internal" href="serious-development.html"><span class="std std-doc">Fork the repo and work locally</span></a></strong></p>
|
||
<p><strong>Teaching a class?</strong> → <strong><a class="reference internal" href="classroom-use.html"><span class="std std-doc">Classroom setup guide</span></a></strong></p>
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