Introduction to Deep Learning with PyTorch

These are notes from Introduction to Deep Learning with PyTorch. If you need to access the materials, clone this repository using

$ git clone [email protected]:adelekuzmiakova/deep-learning-pytorch.git

and cd into it.

Install PyTorch with Python3 Virtualenv Setup

A Virtualenv is a tool to keep the dependencies required by different projects in separate places by creating virtual Python environments for them. It solves the “Project X depends on PyTorch version 0.x but Project Y needs 1.x” dilemma and keeps your global site-packages directory clean and manageable.

1) Requirements

• Python 3
• Pip 3

$ brew install python3

Pip3 is installed with Python3

2) Installation

To install virtualenv via pip run:

$ pip3 install virtualenv

3) Usage

Creation of virtualenv:

$ virtualenv -p python3.5 [desired-path]

e.g.

$ virtualenv -p python3.5 .env

Activate the virtualenv:

$ source [desired-path]/bin/activate

e.g.

$ source .env/bin/activate

Within the virtualenv you can install project-specific packages:

$ pip3 install -r requirements.txt

When you are done working on your project, deactivate the virtualenv:

$ deactivate