Installation instructions for Practicals: Deep Learning

pip

$ sudo apt install python-pip

jupyter

$ python3 -m pip install jupyter

scikit-learn

$ python3 -m pip install scikit-learn

OR

$ sudo apt install python-sklearn

numpy

$ python3 -m pip install numpy

OR

$ sudo apt install python-numpy

pandas

$ python3 -m pip install pandas

OR

$ sudo apt install python-pandas

matplotlib

$ python3 -m pip install matplotlib

graphviz

$ python3 -m pip install graphviz

pydotplus

$ python3 -m pip install pydotplus

OR

$ sudo apt install python-matplotlib

tensorflow

$ python3 -m pip install tensorflow

Download Miniconda (relevant to your architecture) on your virtual machine. Run the executable. If successful, it must create miniconda2 dirctory in your home folder on your machine.

jupyter

$ conda install jupyter

scikit-learn

$ conda install scikit-learn

numpy

$ conda install numpy

pandas

$ conda install pandas

matplotlib

$ conda install matplotlib

tensorflow

$ conda install tensorflow

You can also test the exercises on Google Colaboratory: https://colab.research.google.com/. If you have a Google account, you can create a Python notebook. You can access your Google drive files, after mounting them.

Mounting Google drive

from google.colab import drive
drive.mount('/content/gdrive')


You can see the files in your Drive folder.

from os import listdir

for f in listdir("/content/gdrive/My Drive"):
  print(f)