0 Before you start.ipynb

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    "# Thinking in tensors, writing in PyTorch\n",
    "\n",
    "A hands-on course by [Piotr Migdał](https://p.migdal.pl) et al. (2019).\n",
    "\n",
    "An interactive, installation-free version of this course: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/stared/thinking-in-tensors-writing-in-pytorch/)\n",
    "\n",
    "## Notebook 0: Before you start\n",
    "\n",
    "\n",
    "It is an introduction to deep learning using PyTorch.\n",
    "\n",
    "More about it in the description: https://github.com/stared/thinking-in-tensors-writing-in-pytorch\n",
    "\n",
    "Also, if you have any problems, please use [GitHub issues](https://github.com/stared/thinking-in-tensors-writing-in-pytorch/issues). \n",
    "\n",
    "\n",
    "### Installation instructions\n",
    "\n",
    "The whole course in Jupyter Notebook, an interactive interface for Python 3.\n",
    "\n",
    "There are a few ways to run it.\n",
    "\n",
    "* online, using [Google Colaboratory](https://colab.research.google.com/)\n",
    "* locally, using [Anaconda Distribution](https://www.anaconda.com/distribution/#download-section)\n",
    "\n",
    "On top of standard scientific libraries to Python (3.5 or higher), we need:\n",
    "\n",
    "* [PyTorch](https://pytorch.org/)\n",
    "* [livelossplot](https://github.com/stared/livelossplot)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "torch.__version__  # should be 1.3.1 or higher"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import livelossplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "livelossplot.__version__  #should be 0.4.1 or higher"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# if it doesn't work, type\n",
    "!pip install livelossplot"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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