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README.md

Tutorial for nolearn.lasagne

The following notebooks are tutorials, demonstrating how easy it is to do deep learning with nolearn/lasagne library. Some basic knowledge of deep learning is assumed. You should know multilayer perceptions and convolutional neural networks. See http://deeplearning.net/tutorial/ or cs231n for an introduction.

Slides of a tutorial on these notebooks given at the Zurich Machine Learning Meetup can be found here

Installation

To install the required python packages follow the installation procedure descriped in https://github.com/dnouri/nolearn

To clone the demo itself

git clone https://github.com/oduerr/dl_tutorial.git

To start the ipython notebook server

ipython notebook

Installation on VM or Amazon

Alternatively you can use a VM. For example http://datasciencetoolbox.org/ provides a VM and Amazon AMIs. To install the data science toolbox and lasagne on top of it see README_DataScience_ToolBox.md for a step-by-step instruction.

Other tutorials.

Creating this tutorial I was very much inspired by the following great tutorials:

  • danielnouri describing the use of Lasagne in facial keypoint detection. A great tutorial which inspired this tutorial.

  • msegala Code Plankton quite simple code, which also a contains a Batchiterator

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