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DataLoaders</a></li> <li class="toctree-l2"><a class="reference internal" href="basics/transforms_tutorial.html">Transforms</a></li> <li class="toctree-l2"><a class="reference internal" href="basics/buildmodel_tutorial.html">Build the Neural Network</a></li> <li class="toctree-l2"><a class="reference internal" href="basics/autogradqs_tutorial.html">Automatic Differentiation with <code class="docutils literal notranslate"><span class="pre">torch.autograd</span></code></a></li> <li class="toctree-l2"><a class="reference internal" href="basics/optimization_tutorial.html">Optimizing Model Parameters</a></li> <li class="toctree-l2"><a class="reference internal" href="basics/saveloadrun_tutorial.html">Save and Load the Model</a></li> </ul> </li> <li class="toctree-l1"><a class="reference internal" href="introyt/introyt_index.html">Introduction to PyTorch - YouTube Series</a><ul> <li class="toctree-l2"><a class="reference internal" href="introyt/introyt1_tutorial.html">Introduction to PyTorch</a></li> <li class="toctree-l2"><a class="reference internal" href="introyt/tensors_deeper_tutorial.html">Introduction to PyTorch Tensors</a></li> <li class="toctree-l2"><a class="reference internal" href="introyt/autogradyt_tutorial.html">The Fundamentals of Autograd</a></li> <li class="toctree-l2"><a class="reference internal" href="introyt/modelsyt_tutorial.html">Building Models with PyTorch</a></li> <li class="toctree-l2"><a class="reference internal" href="introyt/tensorboardyt_tutorial.html">PyTorch TensorBoard Support</a></li> <li class="toctree-l2"><a class="reference internal" href="introyt/trainingyt.html">Training with PyTorch</a></li> <li class="toctree-l2"><a class="reference internal" href="introyt/captumyt.html">Model Understanding with Captum</a></li> </ul> </li> </ul> <p class="caption" role="heading"><span class="caption-text">Learning PyTorch</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="deep_learning_60min_blitz.html">Deep Learning with PyTorch: A 60 Minute Blitz</a></li> <li class="toctree-l1"><a class="reference internal" href="pytorch_with_examples.html">Learning PyTorch with Examples</a></li> <li class="toctree-l1"><a class="reference internal" href="nn_tutorial.html">What is <cite>torch.nn</cite> <em>really</em>?</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/nlp_from_scratch_index.html">NLP from Scratch</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_tutorial.html">Visualizing Models, Data, and Training with TensorBoard</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/pinmem_nonblock.html">A guide on good usage of <code class="docutils literal notranslate"><span class="pre">non_blocking</span></code> and <code class="docutils literal notranslate"><span class="pre">pin_memory()</span></code> in PyTorch</a></li> </ul> <p class="caption" role="heading"><span class="caption-text">Image and Video</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="../intermediate/torchvision_tutorial.html">TorchVision Object Detection Finetuning Tutorial</a></li> <li class="toctree-l1"><a class="reference internal" href="transfer_learning_tutorial.html">Transfer Learning for Computer Vision Tutorial</a></li> <li class="toctree-l1"><a class="reference internal" href="fgsm_tutorial.html">Adversarial Example Generation</a></li> <li class="toctree-l1"><a class="reference internal" href="dcgan_faces_tutorial.html">DCGAN Tutorial</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/spatial_transformer_tutorial.html">Spatial Transformer Networks Tutorial</a></li> <li class="toctree-l1"><a class="reference internal" href="vt_tutorial.html">Optimizing Vision Transformer Model for Deployment</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/tiatoolbox_tutorial.html">Whole Slide Image Classification Using PyTorch and TIAToolbox</a></li> </ul> <p class="caption" role="heading"><span class="caption-text">Audio</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> <li class="toctree-l1"><a class="reference internal" href="audio_data_augmentation_tutorial.html">Audio Data Augmentation</a></li> <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/text_to_speech_with_torchaudio.html">Text-to-speech with Tacotron2</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" role="heading"><span class="caption-text">Backends</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="onnx/intro_onnx.html">Introduction to ONNX</a></li> </ul> <p class="caption" role="heading"><span class="caption-text">Reinforcement Learning</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="../intermediate/reinforcement_q_learning.html">Reinforcement Learning (DQN) Tutorial</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/reinforcement_ppo.html">Reinforcement Learning (PPO) with TorchRL Tutorial</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/mario_rl_tutorial.html">Train a Mario-playing RL Agent</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/pendulum.html">Pendulum: Writing your environment and transforms with TorchRL</a></li> </ul> <p class="caption" role="heading"><span class="caption-text">Deploying PyTorch Models in Production</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="onnx/intro_onnx.html">Introduction to ONNX</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/flask_rest_api_tutorial.html">Deploying PyTorch in Python via a REST API with Flask</a></li> <li class="toctree-l1"><a class="reference internal" href="Intro_to_TorchScript_tutorial.html">Introduction to TorchScript</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_export.html">Loading a TorchScript Model in C++</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/super_resolution_with_onnxruntime.html">(optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/realtime_rpi.html">Real Time Inference on Raspberry Pi 4 (30 fps!)</a></li> </ul> <p class="caption" role="heading"><span class="caption-text">Profiling PyTorch</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiling your PyTorch Module</a></li> <li class="toctree-l1"><a class="reference internal" href="hta_intro_tutorial.html">Introduction to Holistic Trace Analysis</a></li> <li class="toctree-l1"><a class="reference internal" href="hta_trace_diff_tutorial.html">Trace Diff using Holistic Trace Analysis</a></li> </ul> <p class="caption" role="heading"><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">(beta) Building a Convolution/Batch Norm fuser in FX</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" role="heading"><span class="caption-text">Frontend APIs</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="../intermediate/memory_format_tutorial.html">(beta) Channels Last Memory Format in PyTorch</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="../intermediate/jacobians_hessians.html">Jacobians, Hessians, hvp, vhp, and more: composing function transforms</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/ensembling.html">Model ensembling</a></li> <li class="toctree-l1"><a class="reference internal" href="../intermediate/per_sample_grads.html">Per-sample-gradients</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_frontend.html">Using the PyTorch C++ Frontend</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/torch-script-parallelism.html">Dynamic Parallelism in TorchScript</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/cpp_autograd.html">Autograd in C++ Frontend</a></li> </ul> <p class="caption" role="heading"><span class="caption-text">Extending PyTorch</span></p> <ul> <li class="toctree-l1"><a class="reference internal" href="../advanced/custom_ops_landing_page.html">PyTorch Custom Operators</a></li> <li class="toctree-l1"><a class="reference internal" href="../advanced/python_custom_ops.html">Python Custom Operators</a></li> <li class="toctree-l1"><a class="reference internal" 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