https://github.com/saturnism/udacity-730-deep-learning-notebook

Ray's Udacity UD730 Deep Learning notes
https://github.com/saturnism/udacity-730-deep-learning-notebook

deep-learning deep-neural-networks jupyter-notebook machine-learning python udacity udacity-android-nanodegree

Last synced: 26 days ago
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Ray's Udacity UD730 Deep Learning notes

• Host: GitHub
• URL: https://github.com/saturnism/udacity-730-deep-learning-notebook
• Owner: saturnism
• License: apache-2.0
• Created: 2018-01-08T07:20:33.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-08T07:27:00.000Z (about 7 years ago)
• Last Synced: 2024-11-11T19:44:36.596Z (3 months ago)
• Topics: deep-learning, deep-neural-networks, jupyter-notebook, machine-learning, python, udacity, udacity-android-nanodegree
• Language: Jupyter Notebook
• Homepage:
• Size: 43.9 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Introduction

Exercises and notes I took from Udacity's [Deep Learning course by Google](https://www.udacity.com/course/deep-learning--ud730).

Udacity's [Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120) 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](https://virtualenv.pypa.io/en/stable/installation/). So that packages I install don't go into the system paths that may conflict with other packages and/or other projects.

1. Checkout this repository: `git clone https://github.com/saturnism/udacity-730-deep-learning-notebook.git`

1. Switch into the directory: `cd ...`

1. Create a new `virtualenv` environment: `virtualenv .`

1. Activate the new environment: `source bin/activqte`. Once activated, every new Python package I install will be installed in the `virtualenv` environment.

1. Install all the dependencies: `pip install -f requirements.txt`

1. Start Jupyter notebook: `jupyter`

1. Browse to Jupyter notebook at `http://localhost:8080`