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@@ -140,6 +140,19 @@ This repository aims at getting you started with [docker](https://www.docker.com
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which jupyter
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```
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**4.** To update **pip** type ```pip install --upgrade pip``` in the terminal, since we would be using it to install other libraries it is good to have the latest updates fetched.
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### Installing deep learning frameworks
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- In this section we will be installing the most popular deep learning framework **TensorFlow** and **keras**. Note that while installing keras **Theano** another deep learning library will also be installed as its a dependency for keras. With these being installed you should be able to build most of your deep neural nets. Also note that this installation is for **CPU** version of **TensorFlow** only.
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**1.** Before we install TensorFlow, as the official documentation suggests we will create a seperate conda environment. To do so type ```conda create -n tensorflow```. You will be asked to confirm for the environment location where this new environment will be created say **yes** to proceed. This might take few seconds.
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**2.** Now to enter the environment we just created type ```source activate tensorflow``` in the terminal. We will now install tensorflow and keras in this environment.
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**3.** To install tensorflow type the following command in the terminal:
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```bash
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pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl
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```
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