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| 1 | +# Deep Learning (with PyTorch) [](https://mybinder.org/v2/gh/Atcold/pytorch-Deep-Learning/master) |
| 2 | + |
| 3 | +This notebook repository now has a [companion website](https://atcold.github.io/pytorch-Deep-Learning/), where all the course material can be found in video and textual format. |
| 4 | + |
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| 38 | +[🇬🇧](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/README.md) [🇨🇳](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/zh/README-ZH.md) [🇰🇷](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/ko/README-KO.md) [🇪🇸](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/es/README-ES.md) [🇮🇹](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/it/README-IT.md) [🇹🇷](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/tr/README-TR.md) [🇯🇵](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/ja/README-JA.md) [🇸🇦](https://github.com/Atcold/pytorch-Deep-Learning/blob/master/docs/ar/README-AR.md) |
| 39 | + |
| 40 | + |
| 41 | +# Getting started |
| 42 | + |
| 43 | +To be able to follow the exercises, you are going to need a laptop with Miniconda (a minimal version of Anaconda) and several Python packages installed. |
| 44 | +The following instruction would work as is for Mac or Ubuntu Linux users, Windows users would need to install and work in the [Git BASH](https://gitforwindows.org/) terminal. |
| 45 | + |
| 46 | + |
| 47 | +## Download and install Miniconda |
| 48 | + |
| 49 | +Please go to the [Anaconda website](https://conda.io/miniconda.html). |
| 50 | +Download and install *the latest* Miniconda version for *Python* 3.7 for your operating system. |
| 51 | + |
| 52 | +```bash |
| 53 | +wget <http:// link to miniconda> |
| 54 | +sh <miniconda*.sh> |
| 55 | +``` |
| 56 | + |
| 57 | + |
| 58 | +## Check-out the git repository with the exercise |
| 59 | + |
| 60 | +Once Miniconda is ready, checkout the course repository and proceed with setting up the environment: |
| 61 | + |
| 62 | +```bash |
| 63 | +git clone https://github.com/Atcold/pytorch-Deep-Learning |
| 64 | +``` |
| 65 | + |
| 66 | + |
| 67 | +## Create isolated Miniconda environment |
| 68 | + |
| 69 | +Change directory (`cd`) into the course folder, then type: |
| 70 | + |
| 71 | +```bash |
| 72 | +# cd pytorch-Deep-Learning |
| 73 | +conda env create -f environment.yml |
| 74 | +source activate pDL |
| 75 | +``` |
| 76 | + |
| 77 | + |
| 78 | +## Start Jupyter Notebook or JupyterLab |
| 79 | + |
| 80 | +Start from terminal as usual: |
| 81 | + |
| 82 | +```bash |
| 83 | +jupyter lab |
| 84 | +``` |
| 85 | + |
| 86 | +Or, for the classic interface: |
| 87 | + |
| 88 | +```bash |
| 89 | +jupyter notebook |
| 90 | +``` |
| 91 | + |
| 92 | + |
| 93 | +## Notebooks visualisation |
| 94 | + |
| 95 | +*Jupyter Notebooks* are used throughout these lectures for interactive data exploration and visualisation. |
| 96 | + |
| 97 | +We use dark styles for both *GitHub* and *Jupyter Notebook*. |
| 98 | +You should try to do the same, or they will look ugly. |
| 99 | +JupyterLab has a built-in selectable dark theme, so you only need to install something if you want to use the classic notebook interface. |
| 100 | +To see the content appropriately in the classic interface install the following: |
| 101 | + |
| 102 | + - [*Jupyter Notebook* dark theme](https://userstyles.org/styles/153443/jupyter-notebook-dark); |
| 103 | + - [*GitHub* dark theme](https://userstyles.org/styles/37035/github-dark) and comment out the `invert #fff to #181818` code block. |
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