## What?
Python, Keras, and Tensorflow have made neural networks easy and accessable to everyone. 
I personally have had a lot of trouble finding a nice and easy guide detailing how to set up all three on a system.
This guide contains simple, step-by-step instructions on how to install these three things.

## 1. Anaconda
Anaconda is a python package manager that does a lot of stuff for you. It contains many packages including pip, numpy, scipy, etc.

Step one is to install it. Do that by going [here](https://www.continuum.io/downloads), downloading the package for your OS, and installing it.

## 2. Python 3.5.2
This step may not be necessary in the future, but for now, it is required.

open powershell or terminal and run the following command:

    conda install python=3.5.2

## 3. GPU (if you want to use GPU)
Note, for your system to actually use the GPU, it nust have a [Compute Capibility](https://developer.nvidia.com/cuda-gpus) >= to 3.0
### 3.1: Install CUDA 8.0
Go to [this](https://developer.nvidia.com/cuda-downloads) website and download CUDA for your OS.

Windows:
* double-click the executable and follow setup instructions

Linux:
* follow the instructions [here](http://askubuntu.com/a/799185)

### 3.2: Install CUDNN
You will need to make a NVIDIA developer account to get these files.

Go [here](https://developer.nvidia.com/cudnn), login, and download CUDNN for your OS

Windows:
* Extract the folder
* Copy the files in the 3 folders to the same folders in C:\Program_Files\NVIDIA CUDA Toolkit (This requires admin permissions)

Ubuntu:
* Extract the folder
* run ```sudo nautilus``` to open the file manager as root
* copy the files from the 2 extracted folers to the same-named folders in /usr/local/CUDA

## 4. Tensorflow and Keras
This is the last step in system setup. Just open powershell or terminal and run one of the following commands.

With GPU:

    pip install tensorflow-gpu keras

Without GPU:

    pip install tensorflow keras