Introduction

Exercises and notes I took from Udacity’s Deep Learning course by Google.
Udacity’s Intro to Machine Learning might be a great pre-requisite, but I didn’t get to start from there.

I have no machine learning nor deep learning background. I have limited to no prior knowledge of Python, Numpy, Scikit-Learn.

I’ll be keeping this notebook up to date with my progress through the Udacity course.

Setup

1. Install VirtualEnv. So that packages I install don’t go into the system paths that may conflict with other packages and/or other projects.
2. Checkout this repository: git clone https://github.com/saturnism/udacity-730-deep-learning-notebook.git
3. Switch into the directory: cd ...
4. Create a new virtualenv environment: virtualenv .
5. Activate the new environment: source bin/activqte. Once activated, every new Python package I install will be installed in the virtualenv environment.
6. Install all the dependencies: pip install -f requirements.txt
7. Start Jupyter notebook: jupyter
8. Browse to Jupyter notebook at http://localhost:8080