Rebuild

Author: 9bow

docs/_images/sphx_glr_numeric_suite_tutorial_001.png

@@ -762,7 +762,7 @@ <h2>다음 단계는?<a class="headerlink" href="#id10" title="이 제목에 대
 그러나 적대적 머신 러닝 분야에 대해서 많은 것을 알기 위한 최고의 방법은 많이 시도해보는 것입니다.
 NIPS 2017 경쟁에서 소개된 다양한 공격 방법을 직접 구현해 보고, FGSM 과 어떤 점이 다른지 연구해 보세요.
 그리고 나서 직접 만든 공격으로부터 모델을 방어해 보세요.</p>
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docs/beginner/fgsm_tutorial.html

@@ -506,11 +506,11 @@ <h2>데이터 처리하기<a class="headerlink" href="#id1" title="이 제목에
 <span class="w">    </span><span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">vocab</span><span class="p">[</span><span class="n">token</span><span class="p">]</span>
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+<span class="x">frame #2: torchtext::Vocab::__getitem__(c10::basic_string_view&lt;char&gt; const&amp;) const + 0x384 (0x7fbd55e98de4 in /opt/conda/lib/python3.10/site-packages/torchtext/lib/libtorchtext.so)</span>
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@@ -968,7 +968,7 @@ <h2>다음 단계<a class="headerlink" href="#id2" title="이 제목에 대한 
 <li><p><code class="docutils literal notranslate"><span class="pre">torchtext</span></code> 를 사용한 Ben Trevett의 튜토리얼을 <a class="reference external" href="https://github.com/bentrevett/">이곳</a> 에서 확인할 수 있습니다.</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">nn.Transformer</span></code> 와 <code class="docutils literal notranslate"><span class="pre">torchtext</span></code> 의 다른 기능들을 이용한 다음 단어 예측을 통한 언어 모델링 튜토리얼을 살펴보세요.</p></li>
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docs/beginner/sg_execution_times.html

@@ -868,7 +868,7 @@ <h2>평가 데이터셋(test dataset)으로 모델을 평가하기<a class="head
 <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;=&#39;</span> <span class="o">*</span> <span class="mi">89</span><span class="p">)</span>
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docs/beginner/t5_tutorial.html

@@ -655,7 +655,7 @@ <h2>Compute the NTK: method 2 (NTK-vector products)<a class="headerlink" href="#
 Memory-wise, both methods should be comparable. See section 3.3 in
 <a class="reference external" href="https://arxiv.org/abs/2206.08720">Fast Finite Width Neural Tangent Kernel</a>
 for details.</p>
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docs/beginner/torchtext_translation.html

@@ -633,7 +633,7 @@ <h2>Performance comparison<a class="headerlink" href="#performance-comparison" t
 operation or if the underlying kernels weren’t optimized for older hardware
 (GPUs). If you see any of these cases, please let us know by opening an issue
 at on GitHub.</p>
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docs/beginner/transformer_tutorial.html

@@ -906,7 +906,7 @@ <h2>평가 데이터셋으로 모델 평가하기<a class="headerlink" href="#id
 <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;=&#39;</span> <span class="o">*</span> <span class="mi">89</span><span class="p">)</span>
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docs/intermediate/neural_tangent_kernels.html

@@ -1083,7 +1083,7 @@ <h2>Conclusion and next steps<a class="headerlink" href="#conclusion-and-next-st
 inverted pendulum in action. Check <code class="xref py py-mod docutils literal notranslate"><span class="pre">torchrl.record</span></code> to
 know more.</p></li>
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