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<!-- Deep Learning (with PyTorch)--> | ||
# Derin Öğrenme (PyTorch ile) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Atcold/pytorch-Deep-Learning/master) | ||
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<!-- 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. | ||
--> | ||
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Bu kurs deposunun materyallerini yazılı ve video halinde bulabileceğiniz [ilgili site](https://atcold.github.io/pytorch-Deep-Learning/). | ||
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<!-- English - Mandarin - Korean - Spanish - Italian - Turkish --> | ||
[🇬🇧](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) | ||
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<!-- Getting started--> | ||
# Başlarken | ||
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<!-- 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. | ||
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. | ||
--> | ||
Alıştırmaları takip edebilmek için Miniconda (Anaconda'nın asgari versiyonu) ve birkaç Python paketi kurulu bir bilgisayara ihtiyacınız olacak. | ||
Aşağıdaki yönergeler Mac veya Ubuntu Linux kullancıları için geçerlidir. Windows kullanıcılarının [Git BASH](https://gitforwindows.org/) kullanması gerekli. | ||
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<!-- Download and install Miniconda | ||
--> | ||
## Miniconda'nın indirilmesi ve yüklenmesi | ||
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<!-- Please go to the [Anaconda website](https://conda.io/miniconda.html). | ||
Download and install *the latest* Miniconda version for *Python* 3.7 for your operating system. | ||
--> | ||
[Anaconda](https://conda.io/miniconda.html)'nın sitesine giderek işletim sisteminiz için uygun olan *en güncel* *Python* 3.7 Miniconda versiyonunu indirip kurun. | ||
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```bash | ||
wget <http:// link to miniconda> | ||
sh <miniconda*.sh> | ||
``` | ||
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<!-- Check-out the git repository with the exercise | ||
--> | ||
## Alıştırma içeren git deposuna göz atın | ||
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<!-- Once Miniconda is ready, checkout the course repository and proceed with setting up the environment: | ||
--> | ||
Miniconda hazır olduğunda kurs deposuna göz atın ve ortamın kurulması ile devam edin. | ||
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```bash | ||
git clone https://github.com/Atcold/pytorch-Deep-Learning | ||
``` | ||
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<!-- Create isolated Miniconda environment | ||
--> | ||
## İzole bir Miniconda ortamı oluşturun | ||
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<!-- Change directory (`cd`) into the course folder, then type: | ||
--> | ||
Kurs dizinine gelin (`cd`) daha sonra aşağıdakini yazın: | ||
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```bash | ||
# cd pytorch-Deep-Learning | ||
conda env create -f environment.yml | ||
source activate pDL | ||
``` | ||
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<!-- Start Jupyter Notebook or JupyterLab | ||
--> | ||
## Jupyter Notebook'u veya JupyerLab'ı başlatın | ||
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<!-- Start from terminal as usual: | ||
--> | ||
Her zamanki gibi terminalden başlatın: | ||
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```bash | ||
jupyter lab | ||
``` | ||
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<!-- Or, for the classic interface: | ||
--> | ||
Ya da klasik arayüzden: | ||
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```bash | ||
jupyter notebook | ||
``` | ||
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<!-- Notebooks visualisation | ||
--> | ||
## Defterlerin görüntülenmesi | ||
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<!-- *Jupyter Notebooks* are used throughout these lectures for interactive data exploration and visualisation. | ||
--> | ||
*Jupyter Notebooks* dersler boyunca interaktif bir biçimde verilerin incelenmesinde ve görselleştirilmesinde kullanıldı. | ||
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<!-- We use dark styles for both *GitHub* and *Jupyter Notebook*. | ||
You should try to do the same, or they will look ugly. | ||
JupyterLab has a built-in selectable dark theme, so you only need to install something if you want to use the classic notebook interface. | ||
To see the content appropriately in the classic interface install the following: | ||
--> | ||
*GitHub* ve *Jupyter Notebook* için koyu tema kullanıyoruz. | ||
Eğer çirkin görünmelerini istemiyorsan sen de öyle kullanmalısın. | ||
JupyterLab'ın seçilebilir hazır bir koyu teması bulunuyor eğer klasik defter arayüzü kullanmak istiyorsan bir şey yüklemen gerekiyor. | ||
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İçeriği klasik arayüzde düzgün bir şekilde görüntülemek istiyorsan aşağıdakileri yükle: | ||
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<!-- - [*Jupyter Notebook* dark theme](https://userstyles.org/styles/153443/jupyter-notebook-dark); | ||
- [*GitHub* dark theme](https://userstyles.org/styles/37035/github-dark) and comment out the `invert #fff to #181818` code block. | ||
--> | ||
- [*Jupyter Notebook* koyu tema](https://userstyles.org/styles/153443/jupyter-notebook-dark); | ||
- [*GitHub* koyu tema](https://userstyles.org/styles/37035/github-dark) `invert #fff to #181818`ve bu kod bloğunu yorum satırından çıkar. | ||
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