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Add beginner youtube tutorials (#1743)
* Create introyt.rst * Create tocyt.txt * Create introyt1_tutorial.py * Create tensors_deeper_tutorial.py * Create autogradyt_tutorial * Create modelsyt_tutorial.py * Create tensorboardyt_tutorial.py * Create trainingyt_tutorial.py * Update introyt1_tutorial.py * Create captumyt_tutorial.py * Rename autogradyt_tutorial to autogradyt_tutorial.py * added intro youtube files to index * Create README file in the introyt folder * Added tensorboard to requirements.txt * fixed the math formula rendering * fixed runtime error * removed runnable code * removed _tutorial from captumyt * fixed runtime error * Rename trainingyt_tutorial.py to trainingyt.py * removed _tutorial from trainingyt * Rename beginner_source/introyt/introyt.rst to beginner_source/introyt.rst * moved introyt toc out of the introyt folder * updated link paths * updated link paths * fixed broken links * fixed broken links * fixed broken links * fixed broken links * Update modelsyt_tutorial.py * fixed broken links * fixed broken links * fixed broken links * fixed broken links * Update trainingyt.py
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beginner_source/introyt.rst

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`Introduction <introyt/introyt1_tutorial.html>`_ ||
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`Tensors <introyt/tensors_deeper_tutorial.html>`_ ||
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`Autograd <introyt/autogradyt_tutorial.html>`_ ||
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`Building Models <introyt/modelsyt_tutorial.html>`_ ||
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`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
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`Training Models <introyt/trainingyt.html>`_ ||
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`Model Understanding <introyt/captumyt.html>`_
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Introduction to PyTorch - YouTube Series
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========================================
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Authors:
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`Brad Heintz <https://github.com/fbbradheintz>`_
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This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ on youtube.
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`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
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Running the Tutorial Code
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-------------------------
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You can run this tutorial in a couple of ways:
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- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
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- **Locally**: This option requires you to setup PyTorch and TorchVision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.
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.. include:: /beginner_source/introyt/tocyt.txt
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.. toctree::
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:hidden:

beginner_source/introyt/README.txt

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Introduction to PyTorch on YouTube
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----------------------------------
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1. introyt.rst
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Introduction to PyTorch - Youtube Series
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https://pytorch.org/tutorials/beginner/introyt/introyt.html
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2. introyt1_tutorial.py
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Introduction to PyTorch
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https://pytorch.org/tutorials/beginner/introyt/introyt1_tutorial.html
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3. tensors_deeper_tutorial.py
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PyTorch Tensors
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https://pytorch.org/tutorials/beginner/introyt/tensors_deeper_tutorial.html
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4. autogradyt_tutorial.py
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The Fundamentals of Autograd
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https://pytorch.org/tutorials/beginner/introyt/autogradyt_tutorial.html
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5. modelsyt_tutorial.py
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Building Models with PyTorch
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https://pytorch.org/tutorials/beginner/introyt/modelsyt_tutorial.html
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6. tensorboardyt_tutorial.py
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PyTorch TensorBoard Support
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https://pytorch.org/tutorials/beginner/introyt/tensorboardyt_tutorial.html
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7. trainingyt_tutorial.py
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Training with PyTorch
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https://pytorch.org/tutorials/beginner/introyt/trainingyt_tutorial.html
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8. captumyt_tutorial.py
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Model Understanding with Captum
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https://pytorch.org/tutorials/beginner/introyt/captumyt_tutorial.html

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