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<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ ์ํผ</span></p>
<ul class="current">
<li class="toctree-l1 current"><a class="current reference internal" href="#">๋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="../beginner/basics/intro.html">ํ์ดํ ์น(PyTorch) ๊ธฐ๋ณธ ์ตํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/quickstart_tutorial.html">๋น ๋ฅธ ์์(Quickstart)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/tensorqs_tutorial.html">ํ
์(Tensor)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/data_tutorial.html">Dataset๊ณผ DataLoader</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/transforms_tutorial.html">๋ณํ(Transform)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/buildmodel_tutorial.html">์ ๊ฒฝ๋ง ๋ชจ๋ธ ๊ตฌ์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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="../beginner/basics/optimization_tutorial.html">๋ชจ๋ธ ๋งค๊ฐ๋ณ์ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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="../beginner/introyt.html">Introduction to PyTorch - YouTube Series</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/introyt1_tutorial.html">Introduction to PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/tensors_deeper_tutorial.html">Introduction to PyTorch Tensors</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/autogradyt_tutorial.html">The Fundamentals of Autograd</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/modelsyt_tutorial.html">Building Models with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/tensorboardyt_tutorial.html">PyTorch TensorBoard Support</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/trainingyt.html">Training with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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="../beginner/deep_learning_60min_blitz.html">PyTorch๋ก ๋ฅ๋ฌ๋ํ๊ธฐ: 60๋ถ๋ง์ ๋์ฅ๋ด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/pytorch_with_examples.html">์์ ๋ก ๋ฐฐ์ฐ๋ ํ์ดํ ์น(PyTorch)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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>
<ul>
<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="../beginner/transfer_learning_tutorial.html">์ปดํจํฐ ๋น์ (Vision)์ ์ํ ์ ์ดํ์ต(Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/fgsm_tutorial.html">์ ๋์ ์์ ์์ฑ(Adversarial Example Generation)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/dcgan_faces_tutorial.html">DCGAN ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
</ul>
<p class="caption"><span class="caption-text">์ค๋์ค</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_io_tutorial.html">Audio I/O</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_resampling_tutorial.html">Audio Resampling</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_data_augmentation_tutorial.html">Audio Data Augmentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_feature_extractions_tutorial.html">Audio Feature Extractions</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_feature_augmentation_tutorial.html">Audio Feature Augmentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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>
</ul>
<p class="caption"><span class="caption-text">ํ
์คํธ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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="../beginner/text_sentiment_ngrams_tutorial.html">torchtext ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ก ํ
์คํธ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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="../beginner/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>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/fx_profiling_tutorial.html">(beta) Building a Simple CPU Performance Profiler with FX</a></li>
</ul>
<p class="caption"><span class="caption-text">ํ๋ก ํธ์๋ API</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/memory_format_tutorial.html">(๋ฒ ํ) PyTorch๋ฅผ ์ฌ์ฉํ Channels Last ๋ฉ๋ชจ๋ฆฌ ํ์</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forward_ad_usage.html">Forward-mode Automatic Differentiation (Beta)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_frontend.html">PyTorch C++ ํ๋ก ํธ์๋ ์ฌ์ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/torch-script-parallelism.html">TorchScript์ ๋์ ๋ณ๋ ฌ ์ฒ๋ฆฌ(Dynamic Parallelism)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_autograd.html">C++ ํ๋ก ํธ์๋์ ์๋ ๋ฏธ๋ถ (autograd)</a></li>
</ul>
<p class="caption"><span class="caption-text">PyTorch ํ์ฅํ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/custom_function_double_backward_tutorial.html">Double Backward with Custom Functions</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/custom_function_conv_bn_tutorial.html">Fusing Convolution and Batch Norm using Custom Function</a></li>
<li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_extension.html">Custom C++ and CUDA Extensions</a></li>
<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>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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="../beginner/hyperparameter_tuning_tutorial.html">Hyperparameter tuning with Ray Tune</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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>
</ul>
<p class="caption"><span class="caption-text">๋ณ๋ ฌ ๋ฐ ๋ถ์ฐ ํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/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>
</ul>
<p class="caption"><span class="caption-text">Mobile</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../beginner/deeplabv3_on_ios.html">iOS์์์ ์ด๋ฏธ์ง ๋ถํ DeepLapV3</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/deeplabv3_on_android.html">์๋๋ก์ด๋์์์ ์ด๋ฏธ์ง ๋ถํ DeepLapV3</a></li>
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<h1>PyTorch Recipes<a class="headerlink" href="#pytorch-recipes" title="Permalink to this headline">ยถ</a></h1>
<p>Recipes are bite-sized bite-sized, actionable examples of how to use specific PyTorch features, different from our full-length tutorials.</p>
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<h4>PyTorch์์ ๋ฐ์ดํฐ ๋ถ๋ฌ์ค๊ธฐ</h4>
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<p class="card-summary">PyTorch ํจํค์ง๋ฅผ ์ด์ฉํด์ ๊ณต์ฉ ๋ฐ์ดํฐ์
์ ๋ถ๋ฌ์ค๊ณ ๋ชจ๋ธ์ ์ ์ฉํ๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
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<h4>์ ๊ฒฝ๋ง ์ ์ํ๊ธฐ</h4>
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<p class="card-summary">MNIST dataset์ ์ฌ์ฉํ ์ ๊ฒฝ๋ง์ ๋ง๋ค๊ณ ์ ์ํ๊ธฐ ์ํด PyTorch์ torch.nn ํจํค์ง๋ฅผ ์ด๋ป๊ฒ ์ฌ์ฉํ๋ ์ง ์์๋ด
์๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/defining-a-network.PNG'></div>
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<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/what_is_state_dict.html">
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<h4>PyTorch์์ state_dict๋ ๋ฌด์์ธ๊ฐ์?</h4>
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<p class="card-summary">PyTorch์์ ๋ชจ๋ธ์ ์ ์ฅํ๊ฑฐ๋ ๋ถ๋ฌ์ฌ ๋ Python ์ฌ์ ์ธ state_dict ๊ฐ์ฒด๊ฐ ์ด๋ป๊ฒ ์ฌ์ฉ๋๋์ง ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/what-is-a-state-dict.PNG'></div>
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<h4>PyTorch์์ ์ถ๋ก (inference)์ ์ํด ๋ชจ๋ธ ์ ์ฅํ๊ธฐ & ๋ถ๋ฌ์ค๊ธฐ</h4>
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<p class="card-summary">PyTorch์์ ์ถ๋ก ์ ์ํด ๋ชจ๋ธ์ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๋ ๋ ๊ฐ์ง ์ ๊ทผ ๋ฐฉ์(state_dict ๋ฐ ์ ์ฒด ๋ชจ๋ธ)์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/saving-and-loading-models-for-inference.PNG'></div>
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</a>
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<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/saving_and_loading_a_general_checkpoint.html">
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<div class="card-title-container">
<h4>PyTorch์์ ์ผ๋ฐ์ ์ธ ์ฒดํฌํฌ์ธํธ(checkpoint) ์ ์ฅํ๊ธฐ & ๋ถ๋ฌ์ค๊ธฐ</h4>
</div>
<p class="card-summary">์ถ๋ก ๋๋ ํ์ต์ ์ฌ๊ฐํ๊ธฐ ์ํด ์ผ๋ฐ์ ์ธ ์ฒดํฌํฌ์ธํธ๋ฅผ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๋ ๊ฒ์ ๋ง์ง๋ง์ผ๋ก ์ค๋จํ ๋ถ๋ถ์ ๊ณ ๋ฅด๋๋ฐ ๋์์ด ๋ฉ๋๋ค. ์ด ๋ ์ํผ์์๋ ์ด๋ป๊ฒ ์ฌ๋ฌ๊ฐ์ ์ฒดํฌํฌ์ธํธ๋ฅผ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๋์ง ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/saving-and-loading-general-checkpoint.PNG'></div>
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</a>
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<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/saving_multiple_models_in_one_file.html">
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<div class="card-title-container">
<h4>PyTorch์์ ์ฌ๋ฌ ๋ชจ๋ธ์ ํ๋์ ํ์ผ์ ์ ์ฅํ๊ธฐ & ๋ถ๋ฌ์ค๊ธฐ</h4>
</div>
<p class="card-summary">์ด์ ์ ํ์ตํ๋ ์ฌ๋ฌ ๋ชจ๋ธ๋ค์ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ ๋ชจ๋ธ์ ์ฌ์ฌ์ฉํ๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/saving-multiple-models.PNG'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/warmstarting_model_using_parameters_from_a_different_model.html">
<div class="card-body">
<div class="card-title-container">
<h4>Warmstarting model using parameters from a different model in PyTorch</h4>
</div>
<p class="card-summary">Learn how warmstarting the training process by partially loading a model or loading a partial model can help your model converge much faster than training from scratch.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/warmstarting-models.PNG'></div>
</div>
</a>
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<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/save_load_across_devices.html">
<div class="card-body">
<div class="card-title-container">
<h4>PyTorch์์ ๋ค์ํ ์ฅ์น ๊ฐ ๋ชจ๋ธ์ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๊ธฐ</h4>
</div>
<p class="card-summary">PyTorch๋ฅผ ์ฌ์ฉํ์ฌ ๋ค์ํ ์ฅ์น(CPU์ GPU) ๊ฐ์ ๋ชจ๋ธ์ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๋ ๋น๊ต์ ๊ฐ๋จํ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/saving-and-loading-models-across-devices.PNG'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/zeroing_out_gradients.html">
<div class="card-body">
<div class="card-title-container">
<h4>PyTorch์์ ๋ณํ๋๋ฅผ 0์ผ๋ก ๋ง๋ค๊ธฐ</h4>
</div>
<p class="card-summary">๋ณํ๋๋ฅผ ์ธ์ 0์ผ๋ก ๋ง๋ค์ด์ผ ํ๋ฉฐ, ๊ทธ๋ ๊ฒ ํ๋ ๊ฒ์ด ๋ชจ๋ธ์ ์ ํ๋๋ฅผ ๋์ด๋ ๋ฐ์ ์ด๋ป๊ฒ ๋์์ด ๋๋์ง ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/zeroing-out-gradients.PNG'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/benchmark.html">
<div class="card-body">
<div class="card-title-container">
<h4>PyTorch ๋ฒค์น๋งํฌ</h4>
</div>
<p class="card-summary">PyTorch์ ๋ฒค์น๋งํฌ ๋ชจ๋์ ์ฌ์ฉํ์ฌ ์ฝ๋์ ์ฑ๋ฅ์ ์ธก์ ํ๊ณ ๋น๊ตํ๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/profiler.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/timer_quick_start.html">
<div class="card-body">
<div class="card-title-container">
<h4>Timer ๋น ๋ฅธ ์์</h4>
</div>
<p class="card-summary">์ฝ๋ ์กฐ๊ฐ(snippet)์ ์คํ ์๊ฐ์ ์ธก์ ํ๊ณ ๋ช
๋ น์ด๋ค์ ํ์ธํ๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/profiler.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Basics>
<div class="card tutorials-card">
<a href="../recipes/recipes/profiler_recipe.html">
<div class="card-body">
<div class="card-title-container">
<h4>Pytorch ํ๋กํ์ผ๋ฌ</h4>
</div>
<p class="card-summary">PyTorch์ ํ๋กํ์ผ๋ฌ๋ฅผ ์ฌ์ฉํ์ฌ ์ฐ์ฐ ์๊ฐ๊ณผ ๋ฉ๋ชจ๋ฆฌ ์๋น๋์ ์ธก์ ํ๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Basics</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/profiler.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Data-Customization>
<div class="card tutorials-card">
<a href="../recipes/recipes/custom_dataset_transforms_loader.html">
<div class="card-body">
<div class="card-title-container">
<h4>์ฌ์ฉ์ ์ ์ ๋ฐ์ดํฐ์
, Transforms & Dataloader</h4>
</div>
<p class="card-summary">PyTorch ๋ฐ์ดํฐ์
API๋ฅผ ์ด์ฉํ์ฌ ์ด๋ป๊ฒ ์ฝ๊ฒ ์ฌ์ฉ์ ์ ์ ๋ฐ์ดํฐ์
๊ณผ dataloader๋ฅผ ๋ง๋๋์ง ์์๋ด
๋๋ค.</p>
<p class="tags">Data-Customization</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/custom-datasets-transforms-and-dataloaders.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Interpretability,Captum>
<div class="card tutorials-card">
<a href="../recipes/recipes/Captum_Recipe.html">
<div class="card-body">
<div class="card-title-container">
<h4>Captum์ ์ฌ์ฉํ์ฌ ๋ชจ๋ธ ํด์ํ๊ธฐ</h4>
</div>
<p class="card-summary">Captum์ ์ฌ์ฉํ์ฌ ์ด๋ฏธ์ง ๋ถ๋ฅ๊ธฐ์ ์์ธก์ ํด๋น ์ด๋ฏธ์ง์ ํน์ง(features)์ ์ฌ์ฉํ๊ณ ์์ฑ(attribution) ๊ฒฐ๊ณผ๋ฅผ ์๊ฐํ ํ๋๋ฐ ์ฌ์ฉํ๋ ๋ฐฉ๋ฒ์ ํ์ตํฉ๋๋ค.</p>
<p class="tags">Interpretability,Captum</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/model-interpretability-using-captum.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Visualization,TensorBoard>
<div class="card tutorials-card">
<a href="../recipes/recipes/tensorboard_with_pytorch.html">
<div class="card-body">
<div class="card-title-container">
<h4>PyTorch๋ก TensorBoard ์ฌ์ฉํ๊ธฐ</h4>
</div>
<p class="card-summary">PyTorch๋ก TensorBoard๋ฅผ ์ฌ์ฉํ๋ ๊ธฐ๋ณธ ๋ฐฉ๋ฒ๊ณผ TensorBoard UI์์ ๋ฐ์ดํฐ๋ฅผ ์๊ฐํํ๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Visualization,TensorBoard</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/tensorboard_scalars.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Quantization,Text,Model-Optimization>
<div class="card tutorials-card">
<a href="../recipes/recipes/dynamic_quantization.html">
<div class="card-body">
<div class="card-title-container">
<h4>Dynamic Quantization</h4>
</div>
<p class="card-summary">Apply dynamic quantization to a simple LSTM model.</p>
<p class="tags">Quantization,Text,Model-Optimization</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/using-dynamic-post-training-quantization.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=TorchScript>
<div class="card tutorials-card">
<a href="../recipes/torchscript_inference.html">
<div class="card-body">
<div class="card-title-container">
<h4>TorchScript๋ก ๋ฐฐํฌํ๊ธฐ</h4>
</div>
<p class="card-summary">ํ์ต๋ ๋ชจ๋ธ์ TorchScript ํ์์ผ๋ก ๋ด๋ณด๋ด๋ ๋ฐฉ๋ฒ๊ณผ TorchScript ๋ชจ๋ธ์ C++๋ก ๋ถ๋ฌ์ค๊ณ ์ถ๋ก ํ๋ ๋ฐฉ๋ฒ์ ๋ํด ์์๋ด
๋๋ค.</p>
<p class="tags">TorchScript</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/torchscript_overview.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Production,TorchScript>
<div class="card tutorials-card">
<a href="../recipes/deployment_with_flask.html">
<div class="card-body">
<div class="card-title-container">
<h4>Flask๋ก ๋ฐฐํฌํ๊ธฐ</h4>
</div>
<p class="card-summary">๊ฒฝ๋ ์น์๋ฒ Flask๋ฅผ ์ฌ์ฉํ์ฌ ํ์ต๋ PyTorch Model์ Web API๋ก ๋น ๋ฅด๊ฒ ๋ง๋๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Production,TorchScript</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/using-flask-create-restful-api.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile,Model-Optimization>
<div class="card tutorials-card">
<a href="../recipes/mobile_perf.html">
<div class="card-body">
<div class="card-title-container">
<h4>PyTorch ๋ชจ๋ฐ์ผ ์ฑ๋ฅ ๋ ์ํผ</h4>
</div>
<p class="card-summary">๋ชจ๋ฐ์ผ(Android์ iOS) ์์์ PyTorch๋ฅผ ์ฌ์ฉํ๊ธฐ ์ํ ์ฑ๋ฅ ์ต์ ํ ๋ ์ํผ ๋ชฉ๋ก๋ค.</p>
<p class="tags">Mobile,Model-Optimization</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/mobile.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile>
<div class="card tutorials-card">
<a href="../recipes/android_native_app_with_custom_op.html">
<div class="card-body">
<div class="card-title-container">
<h4>PyTorch ์ฌ์ ๋น๋๋ ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ฅผ ์ฌ์ฉํ๋ ๋ค์ดํฐ๋ธ Android ์ ํ๋ฆฌ์ผ์ด์
๋ง๋ค๊ธฐ</h4>
</div>
<p class="card-summary">LibTorch C++ API์ ์ฌ์ฉ์ ์ง์ C++ ์ฐ์ฐ์๋ฅผ ๊ฐ์ง๋ TorchScript๋ฅผ ์ฌ์ฉํด์ Android ์ ํ๋ฆฌ์ผ์ด์
์ ์ฒ์๋ถํฐ ๋ง๋๋ ๋ฐฉ๋ฒ์ ์์๋ด
๋๋ค.</p>
<p class="tags">Mobile</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/android.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile>
<div class="card tutorials-card">
<a href="../recipes/fuse.html">
<div class="card-body">
<div class="card-title-container">
<h4>Fuse Modules recipe</h4>
</div>
<p class="card-summary">Learn how to fuse a list of PyTorch modules into a single module to reduce the model size before quantization.</p>
<p class="tags">Mobile</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/mobile.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile,Quantization>
<div class="card tutorials-card">
<a href="../recipes/quantization.html">
<div class="card-body">
<div class="card-title-container">
<h4>Quantization for Mobile Recipe</h4>
</div>
<p class="card-summary">Learn how to reduce the model size and make it run faster without losing much on accuracy.</p>
<p class="tags">Mobile,Quantization</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/mobile.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile>
<div class="card tutorials-card">
<a href="../recipes/script_optimized.html">
<div class="card-body">
<div class="card-title-container">
<h4>Script and Optimize for Mobile</h4>
</div>
<p class="card-summary">Learn how to convert the model to TorchScipt and (optional) optimize it for mobile apps.</p>
<p class="tags">Mobile</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/mobile.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile>
<div class="card tutorials-card">
<a href="../recipes/model_preparation_ios.html">
<div class="card-body">
<div class="card-title-container">
<h4>Model Preparation for iOS Recipe</h4>
</div>
<p class="card-summary">Learn how to add the model in an iOS project and use PyTorch pod for iOS.</p>
<p class="tags">Mobile</p>
<div class="tutorials-image"><img src='../_static/img/thumbnails/cropped/ios.png'></div>
</div>
</a>
</div>
</div></p>
<p><div class="col-md-12 tutorials-card-container" data-tags=Mobile>
<div class="card tutorials-card">
<a href="../recipes/model_preparation_android.html">
<div class="card-body">