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<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ ์ํผ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../recipes/recipes_index.html">๋ชจ๋ ๋ ์ํผ ๋ณด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../prototype/prototype_index.html">๋ชจ๋ ํ๋กํ ํ์
๋ ์ํผ ๋ณด๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ์์ํ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="basics/intro.html">ํ์ดํ ์น(PyTorch) ๊ธฐ๋ณธ ์ตํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/quickstart_tutorial.html">๋น ๋ฅธ ์์(Quickstart)</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/tensorqs_tutorial.html">ํ
์(Tensor)</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/data_tutorial.html">Dataset๊ณผ DataLoader</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/transforms_tutorial.html">๋ณํ(Transform)</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/buildmodel_tutorial.html">์ ๊ฒฝ๋ง ๋ชจ๋ธ ๊ตฌ์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/autogradqs_tutorial.html"><code class="docutils literal notranslate"><span class="pre">torch.autograd</span></code>๋ฅผ ์ฌ์ฉํ ์๋ ๋ฏธ๋ถ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/optimization_tutorial.html">๋ชจ๋ธ ๋งค๊ฐ๋ณ์ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="basics/saveloadrun_tutorial.html">๋ชจ๋ธ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">Introduction to PyTorch on YouTube</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="introyt.html">Introduction to PyTorch - YouTube Series</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/introyt1_tutorial.html">Introduction to PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/tensors_deeper_tutorial.html">Introduction to PyTorch Tensors</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/autogradyt_tutorial.html">The Fundamentals of Autograd</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/modelsyt_tutorial.html">Building Models with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/tensorboardyt_tutorial.html">PyTorch TensorBoard Support</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/trainingyt.html">Training with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="introyt/captumyt.html">Model Understanding with Captum</a></li>
</ul>
<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ฐฐ์ฐ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="deep_learning_60min_blitz.html">PyTorch๋ก ๋ฅ๋ฌ๋ํ๊ธฐ: 60๋ถ๋ง์ ๋์ฅ๋ด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="pytorch_with_examples.html">์์ ๋ก ๋ฐฐ์ฐ๋ ํ์ดํ ์น(PyTorch)</a></li>
<li class="toctree-l1"><a class="reference internal" href="nn_tutorial.html"><cite>torch.nn</cite> ์ด <em>์ค์ ๋ก</em> ๋ฌด์์ธ๊ฐ์?</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_tutorial.html">TensorBoard๋ก ๋ชจ๋ธ, ๋ฐ์ดํฐ, ํ์ต ์๊ฐํํ๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">์ด๋ฏธ์ง/๋น๋์ค</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../intermediate/torchvision_tutorial.html">TorchVision ๊ฐ์ฒด ๊ฒ์ถ ๋ฏธ์ธ์กฐ์ (Finetuning) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="transfer_learning_tutorial.html">์ปดํจํฐ ๋น์ (Vision)์ ์ํ ์ ์ดํ์ต(Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="fgsm_tutorial.html">์ ๋์ ์์ ์์ฑ(Adversarial Example Generation)</a></li>
<li class="toctree-l1"><a class="reference internal" href="dcgan_faces_tutorial.html">DCGAN ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
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<p class="caption"><span class="caption-text">์ค๋์ค</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="audio_io_tutorial.html">Audio I/O</a></li>
<li class="toctree-l1"><a class="reference internal" href="audio_resampling_tutorial.html">Audio Resampling</a></li>
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<li class="toctree-l1"><a class="reference internal" href="audio_feature_extractions_tutorial.html">Audio Feature Extractions</a></li>
<li class="toctree-l1"><a class="reference internal" href="audio_feature_augmentation_tutorial.html">Audio Feature Augmentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="audio_datasets_tutorial.html">Audio Datasets</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/speech_recognition_pipeline_tutorial.html">Speech Recognition with Wav2Vec2</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/speech_command_classification_with_torchaudio_tutorial.html">Speech Command Classification with torchaudio</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/text_to_speech_with_torchaudio.html">Text-to-speech with torchaudio</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forced_alignment_with_torchaudio_tutorial.html">Forced Alignment with Wav2Vec2</a></li>
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<p class="caption"><span class="caption-text">ํ
์คํธ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="transformer_tutorial.html">nn.Transformer ์ TorchText ๋ก ์ํ์ค-ํฌ-์ํ์ค(Sequence-to-Sequence) ๋ชจ๋ธ๋งํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/char_rnn_classification_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: ๋ฌธ์-๋จ์ RNN์ผ๋ก ์ด๋ฆ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/char_rnn_generation_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: ๋ฌธ์-๋จ์ RNN์ผ๋ก ์ด๋ฆ ์์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/seq2seq_translation_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: Sequence to Sequence ๋คํธ์ํฌ์ Attention์ ์ด์ฉํ ๋ฒ์ญ</a></li>
<li class="toctree-l1"><a class="reference internal" href="text_sentiment_ngrams_tutorial.html">torchtext ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ก ํ
์คํธ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="translation_transformer.html">nn.Transformer์ torchtext๋ก ์ธ์ด ๋ฒ์ญํ๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">๊ฐํํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/reinforcement_q_learning.html">๊ฐํ ํ์ต (DQN) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/mario_rl_tutorial.html">Train a Mario-playing RL Agent</a></li>
</ul>
<p class="caption"><span class="caption-text">PyTorch ๋ชจ๋ธ์ ํ๋ก๋์
ํ๊ฒฝ์ ๋ฐฐํฌํ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/flask_rest_api_tutorial.html">Flask๋ฅผ ์ฌ์ฉํ์ฌ Python์์ PyTorch๋ฅผ REST API๋ก ๋ฐฐํฌํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="Intro_to_TorchScript_tutorial.html">TorchScript ์๊ฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_export.html">C++์์ TorchScript ๋ชจ๋ธ ๋ก๋ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/super_resolution_with_onnxruntime.html">(์ ํ) PyTorch ๋ชจ๋ธ์ ONNX์ผ๋ก ๋ณํํ๊ณ ONNX ๋ฐํ์์์ ์คํํ๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">Code Transforms with FX</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/fx_conv_bn_fuser.html">(๋ฒ ํ) FX์์ ํฉ์ฑ๊ณฑ/๋ฐฐ์น ์ ๊ทํ(Convolution/Batch Norm) ๊ฒฐํฉ๊ธฐ(Fuser) ๋ง๋ค๊ธฐ</a></li>
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<p class="caption"><span class="caption-text">ํ๋ก ํธ์๋ API</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../intermediate/forward_ad_usage.html">Forward-mode Automatic Differentiation (Beta)</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../advanced/torch-script-parallelism.html">TorchScript์ ๋์ ๋ณ๋ ฌ ์ฒ๋ฆฌ(Dynamic Parallelism)</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../intermediate/custom_function_double_backward_tutorial.html">Double Backward with Custom Functions</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../advanced/torch_script_custom_ops.html">Extending TorchScript with Custom C++ Operators</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/torch_script_custom_classes.html">์ปค์คํ
C++ ํด๋์ค๋ก TorchScript ํ์ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/dispatcher.html">Registering a Dispatched Operator in C++</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/extend_dispatcher.html">Extending dispatcher for a new backend in C++</a></li>
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<p class="caption"><span class="caption-text">๋ชจ๋ธ ์ต์ ํ</span></p>
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<li class="toctree-l1"><a class="reference internal" href="profiler.html">PyTorch ๋ชจ๋ ํ๋กํ์ผ๋ง ํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_profiler_tutorial.html">PyTorch Profiler With TensorBoard</a></li>
<li class="toctree-l1"><a class="reference internal" href="hyperparameter_tuning_tutorial.html">Hyperparameter tuning with Ray Tune</a></li>
<li class="toctree-l1"><a class="reference internal" href="vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/parametrizations.html">Parametrizations Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/pruning_tutorial.html">๊ฐ์ง์น๊ธฐ ๊ธฐ๋ฒ(Pruning) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/dynamic_quantization_tutorial.html">(๋ฒ ํ) LSTM ๊ธฐ๋ฐ ๋จ์ด ๋จ์ ์ธ์ด ๋ชจ๋ธ์ ๋์ ์์ํ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dynamic_quantization_bert_tutorial.html">(๋ฒ ํ) BERT ๋ชจ๋ธ ๋์ ์์ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/quantized_transfer_learning_tutorial.html">(๋ฒ ํ) ์ปดํจํฐ ๋น์ ํํ ๋ฆฌ์ผ์ ์ํ ์์ํ๋ ์ ์ดํ์ต(Quantized Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/static_quantization_tutorial.html">(beta) Static Quantization with Eager Mode in PyTorch</a></li>
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<p class="caption"><span class="caption-text">๋ณ๋ ฌ ๋ฐ ๋ถ์ฐ ํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="dist_overview.html">PyTorch Distributed Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/model_parallel_tutorial.html">๋จ์ผ ๋จธ์ ์ ์ฌ์ฉํ ๋ชจ๋ธ ๋ณ๋ ฌํ ๋ชจ๋ฒ ์ฌ๋ก</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/ddp_tutorial.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ ์ฒ๋ฆฌ ์์ํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dist_tuto.html">PyTorch๋ก ๋ถ์ฐ ์ดํ๋ฆฌ์ผ์ด์
๊ฐ๋ฐํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_tutorial.html">Getting Started with Distributed RPC Framework</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_param_server_tutorial.html">Implementing a Parameter Server Using Distributed RPC Framework</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dist_pipeline_parallel_tutorial.html">Distributed Pipeline Parallelism Using RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_async_execution.html">Implementing Batch RPC Processing Using Asynchronous Executions</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/rpc_ddp_tutorial.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ(DDP)๊ณผ ๋ถ์ฐ RPC ํ๋ ์์ํฌ ๊ฒฐํฉ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/pipeline_tutorial.html">ํ์ดํ๋ผ์ธ ๋ณ๋ ฌํ๋ก ํธ๋์คํฌ๋จธ ๋ชจ๋ธ ํ์ต์ํค๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/ddp_pipeline.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ ์ฒ๋ฆฌ์ ๋ณ๋ ฌ ์ฒ๋ฆฌ ํ์ดํ๋ผ์ธ์ ์ฌ์ฉํ ํธ๋์คํฌ๋จธ ๋ชจ๋ธ ํ์ต</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/generic_join.html">Distributed Training with Uneven Inputs Using the Join Context Manager</a></li>
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<div class="section" id="computation-times">
<span id="sphx-glr-beginner-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">ยถ</a></h1>
<p><strong>02:32.840</strong> total execution time for <strong>beginner</strong> files:</p>
<ul class="simple">
<li><strong>02:00.282</strong>: <a class="reference internal" href="transfer_learning_tutorial.html#sphx-glr-beginner-transfer-learning-tutorial-py"><span class="std std-ref">์ปดํจํฐ ๋น์ (Vision)์ ์ํ ์ ์ดํ์ต(Transfer Learning)</span></a> (<code class="docutils literal notranslate"><span class="pre">transfer_learning_tutorial.py</span></code>)</li>
<li><strong>00:29.762</strong>: <a class="reference internal" href="nn_tutorial.html#sphx-glr-beginner-nn-tutorial-py"><span class="std std-ref">torch.nn ์ด ์ค์ ๋ก ๋ฌด์์ธ๊ฐ์?</span></a> (<code class="docutils literal notranslate"><span class="pre">nn_tutorial.py</span></code>)</li>
<li><strong>00:02.796</strong>: <a class="reference internal" href="data_loading_tutorial.html#sphx-glr-beginner-data-loading-tutorial-py"><span class="std std-ref">์ฌ์ฉ์ ์ ์ Dataset, Dataloader, Transforms ์์ฑํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">data_loading_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="Intro_to_TorchScript_tutorial.html#sphx-glr-beginner-intro-to-torchscript-tutorial-py"><span class="std std-ref">TorchScript ์๊ฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">Intro_to_TorchScript_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="audio_data_augmentation_tutorial.html#sphx-glr-beginner-audio-data-augmentation-tutorial-py"><span class="std std-ref">Audio Data Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_data_augmentation_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-beginner-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="audio_feature_augmentation_tutorial.html#sphx-glr-beginner-audio-feature-augmentation-tutorial-py"><span class="std std-ref">Audio Feature Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_augmentation_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="audio_feature_extractions_tutorial.html#sphx-glr-beginner-audio-feature-extractions-tutorial-py"><span class="std std-ref">Audio Feature Extractions</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_extractions_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="audio_io_tutorial.html#sphx-glr-beginner-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="audio_resampling_tutorial.html#sphx-glr-beginner-audio-resampling-tutorial-py"><span class="std std-ref">Audio Resampling</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_resampling_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="chatbot_tutorial.html#sphx-glr-beginner-chatbot-tutorial-py"><span class="std std-ref">์ฑ๋ด ํํ ๋ฆฌ์ผ</span></a> (<code class="docutils literal notranslate"><span class="pre">chatbot_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="dcgan_faces_tutorial.html#sphx-glr-beginner-dcgan-faces-tutorial-py"><span class="std std-ref">DCGAN ํํ ๋ฆฌ์ผ</span></a> (<code class="docutils literal notranslate"><span class="pre">dcgan_faces_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="deploy_seq2seq_hybrid_frontend_tutorial.html#sphx-glr-beginner-deploy-seq2seq-hybrid-frontend-tutorial-py"><span class="std std-ref">Deploying a Seq2Seq Model with TorchScript</span></a> (<code class="docutils literal notranslate"><span class="pre">deploy_seq2seq_hybrid_frontend_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="fgsm_tutorial.html#sphx-glr-beginner-fgsm-tutorial-py"><span class="std std-ref">์ ๋์ ์์ ์์ฑ(Adversarial Example Generation)</span></a> (<code class="docutils literal notranslate"><span class="pre">fgsm_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="finetuning_torchvision_models_tutorial.html#sphx-glr-beginner-finetuning-torchvision-models-tutorial-py"><span class="std std-ref">Finetuning Torchvision Models</span></a> (<code class="docutils literal notranslate"><span class="pre">finetuning_torchvision_models_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="hyperparameter_tuning_tutorial.html#sphx-glr-beginner-hyperparameter-tuning-tutorial-py"><span class="std std-ref">Hyperparameter tuning with Ray Tune</span></a> (<code class="docutils literal notranslate"><span class="pre">hyperparameter_tuning_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="profiler.html#sphx-glr-beginner-profiler-py"><span class="std std-ref">PyTorch ๋ชจ๋ ํ๋กํ์ผ๋ง ํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">profiler.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="saving_loading_models.html#sphx-glr-beginner-saving-loading-models-py"><span class="std std-ref">๋ชจ๋ธ ์ ์ฅํ๊ธฐ & ๋ถ๋ฌ์ค๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">saving_loading_models.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="text_sentiment_ngrams_tutorial.html#sphx-glr-beginner-text-sentiment-ngrams-tutorial-py"><span class="std std-ref">torchtext ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ก ํ
์คํธ ๋ถ๋ฅํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">text_sentiment_ngrams_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="torchtext_translation.html#sphx-glr-beginner-torchtext-translation-py"><span class="std std-ref">TorchText๋ก ์ธ์ด ๋ฒ์ญํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">torchtext_translation.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="transformer_tutorial.html#sphx-glr-beginner-transformer-tutorial-py"><span class="std std-ref">nn.Transformer ์ TorchText ๋ก ์ํ์ค-ํฌ-์ํ์ค(Sequence-to-Sequence) ๋ชจ๋ธ๋งํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">transformer_tutorial.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="translation_transformer.html#sphx-glr-beginner-translation-transformer-py"><span class="std std-ref">nn.Transformer์ torchtext๋ก ์ธ์ด ๋ฒ์ญํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">translation_transformer.py</span></code>)</li>
<li><strong>00:00.000</strong>: <a class="reference internal" href="vt_tutorial.html#sphx-glr-beginner-vt-tutorial-py"><span class="std std-ref">๋ฐฐํฌ๋ฅผ ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</span></a> (<code class="docutils literal notranslate"><span class="pre">vt_tutorial.py</span></code>)</li>
</ul>
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