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Deep Learning - Installation Guide

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Installation Guide for Deep Learning 


To execute lab exercises, demos, assignments, and projects, the following tools, software, 
and libraries need to be installed: 
● Python  
● TensorFlow  
● Numpy 
● Matplotlib 
● Scikit-Learn  
 
 
All these work with Windows, Mac, or Linux. With Windows OS, your laptop must have i5 / 
i7 intel or equivalent AMD processor. Once the installations are complete, update the 
Windows PATH variable. The new installations can be detected at run time. 
 
 
Installing Anaconda Distribution 4.2.0 with Python 3.5 

Step 1: ​Download Python using the following links. You can choose the appropriate link 
based on your Operating System. 

Windows: ​https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86.exe 

Windows 64 bit: ​https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe 

Mac: h
​ ttps://repo.continuum.io/archive/Anaconda3-4.2.0-MacOSX-x86_64.pkg 

Linux: ​https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86.sh 

Linux 64 bit: h
​ ttps://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh   

To install Python 3.5.2 click on​ ​ ​https://www.python.org/downloads/release/python-352/ 


 

Step 2:​ Once Python and Anaconda are installed, click Windows Start button and search 
“Anaconda Navigator.” If Anaconda is installed properly, you will see it in the programs 
(marked by arrow). Click Anaconda Navigator​. 
 

Step 3:​ Once you click on Anaconda Navigator, it will open a panel with some application 
icons. Click Launch button. 

Step 4:​ Once you click on Launch, it will open Spyder IDE. To confirm version of Anaconda 
and Python, run the following command in IPython Console. 

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Installing TensorFlow 

The following link can be used to download TensorFlow. 

https://www.tensorflow.org/install 
 
TensorFlow does not work with Python2.x or Python 3.6. Hence, you need to make sure 
that Python 3.5.x is installed and is in path first. In Windows, check echo %PATH% on 
windows command prompt and ensure that Python 3.5.x is properly installed. You can do 
“which python” to check which version of python is used.  
 
If you are installing laptop Windows version and don’t have compliant Nvidia GPU 
processors, you can set up CPU version of TensorFlow. If you chose to install GPU version, 
you must meet the prerequisites listed on the website. 
 
 

Installing Cython 

Download and install Cython from: ​http://www.lfd.uci.edu/~gohlke/pythonlibs/#cython

 
 

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Installing NumPy 

 
Download and install NumPy from: h
​ ttps://scipy.org/install.html 
 
 

Installing Matplotlib 

Download and install Matplotlib from: ​https://matplotlib.org/users/installing.html 

Installing Scikit-Learn 

Download and install Scikit-Learn from: h


​ ttp://scikit-learn.org/stable/install.html 

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