Neural Network Workshop - Revision history

SpammerHellDontDelete at 03:07, 27 January 2011

2011-01-27T03:07:07Z

← Older revision		Revision as of 20:07, 26 January 2011
Line 26:		Line 26:
	***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific		***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific
	***Code at http://www.mindmech.com/nnw.tgz		***Code at http://www.mindmech.com/nnw.tgz
	Computing Disk Image		**Computing Disk Image
	***Install [http://pybrain.org/docs/ PyBrain]		***Install [http://pybrain.org/docs/ PyBrain]
	**R		**R

2011-01-27T03:06:46Z

← Older revision		Revision as of 20:06, 26 January 2011
Line 24:		Line 24:
	*Installfest '''Please try and download whatever you can BEFORE coming to Noisebridge!!!'''		*Installfest '''Please try and download whatever you can BEFORE coming to Noisebridge!!!'''
	**Python		**Python
	***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific Computing Disk Image		***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific
			***Code at http://www.mindmech.com/nnw.tgz
			Computing Disk Image
	***Install [http://pybrain.org/docs/ PyBrain]		***Install [http://pybrain.org/docs/ PyBrain]
	**R		**R
	***Install [http://www.r-project.org/ R]		***Install [http://www.r-project.org/ R]
	***~~Install [http~~://~~cran~~.~~r-project~~.~~org~~/~~web~~/~~packages~~/~~nnet/index.html nnet]~~		***Code Repository: git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge
	*Potential Workshop Projects		*Potential Workshop Projects
	**Function Approximation: XOR		**Function Approximation: XOR

2011-01-26T05:01:58Z

← Older revision		Revision as of 22:01, 25 January 2011
Line 22:		Line 22:
	*How are neural nets trained?		*How are neural nets trained?
	**Backpropagation		**Backpropagation
	*Installfest		*Installfest '''Please try and download whatever you can BEFORE coming to Noisebridge!!!'''
	**Python		**Python
	***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific Computing Disk Image		***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific Computing Disk Image

2011-01-26T04:10:48Z

← Older revision		Revision as of 21:10, 25 January 2011
Line 24:		Line 24:
	*Installfest		*Installfest
	**Python		**Python
	***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy], OR install [http://www.sagemath.org/ Sage]		***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy] OR install [http://www.sagemath.org/ Sage] OR [http://www.virtualbox.org/ VirtualBox]+Joe's Python Scientific Computing Disk Image
	***Install [http://pybrain.org/docs/ PyBrain]		***Install [http://pybrain.org/docs/ PyBrain]
	**R		**R

2011-01-26T00:01:25Z

@@ Line 10: / Line 10: @@
 === Workshop Outline ===
 *What is a neural net?
 **What does a real neural net in the brain look like?
@@ Line 29: / Line 22: @@
 *How are neural nets trained?
 **Backpropagation
 *Potential Workshop Projects
 **Function Approximation: XOR

2011-01-25T05:47:52Z

Workshop Outline

← Older revision		Revision as of 22:47, 24 January 2011
Line 12:		Line 12:
	*Installfest		*Installfest
	**Python		**Python
	***Install [http://numpy.scipy.org/ numpy]		***Install [http://numpy.scipy.org/ numpy] and [http://www.scipy.org/ scipy], OR install [http://www.sagemath.org/ Sage]
	***Install [http://www.scipy.org/ scipy]
	***Install [http://pybrain.org/docs/ PyBrain]		***Install [http://pybrain.org/docs/ PyBrain]
	**R		**R

2011-01-25T05:44:19Z

← Older revision		Revision as of 22:44, 24 January 2011
Line 10:		Line 10:

	=== Workshop Outline ===		=== Workshop Outline ===
			*Installfest
			**Python
			***Install [http://numpy.scipy.org/ numpy]
			***Install [http://www.scipy.org/ scipy]
			***Install [http://pybrain.org/docs/ PyBrain]
			**R
			***Install [http://www.r-project.org/ R]
			***Install [http://cran.r-project.org/web/packages/nnet/index.html nnet]
	*What is a neural net?		*What is a neural net?
	**What does a real neural net in the brain look like?		**What does a real neural net in the brain look like?

2011-01-25T05:40:08Z

← Older revision		Revision as of 22:40, 24 January 2011
Line 24:		Line 24:
	*Potential Workshop Projects		*Potential Workshop Projects
	**Function Approximation: XOR		**Function Approximation: XOR
	**Regression: Predicting Car MPG Based on 7 Variables
	***We'll use a neural net on [http://archive.ics.uci.edu/ml/datasets/Auto+MPG this data].
	**Multi-class Classification: Type of Iris		**Multi-class Classification: Type of Iris
	***We'll be using this [http://archive.ics.uci.edu/ml/datasets/Iris classic data set] to predict the class of Iris based on measurements of the petals.		***We'll be using this [http://archive.ics.uci.edu/ml/datasets/Iris classic data set] to predict the class of Iris based on measurements of the petals.

2011-01-24T02:45:40Z

← Older revision		Revision as of 19:45, 23 January 2011
Line 22:		Line 22:
	*How are neural nets trained?		*How are neural nets trained?
	**Backpropagation		**Backpropagation
	*Workshop Projects		*Potential Workshop Projects
	**Function Approximation: XOR		**Function Approximation: XOR
	**Regression: Predicting Car MPG Based on 7 Variables		**Regression: Predicting Car MPG Based on 7 Variables

2011-01-24T02:43:22Z

← Older revision		Revision as of 19:43, 23 January 2011
Line 26:		Line 26:
	**Regression: Predicting Car MPG Based on 7 Variables		**Regression: Predicting Car MPG Based on 7 Variables
	***We'll use a neural net on [http://archive.ics.uci.edu/ml/datasets/Auto+MPG this data].		***We'll use a neural net on [http://archive.ics.uci.edu/ml/datasets/Auto+MPG this data].
			**Multi-class Classification: Type of Iris
			***We'll be using this [http://archive.ics.uci.edu/ml/datasets/Iris classic data set] to predict the class of Iris based on measurements of the petals.
	**Binary Classification: Face or not a Face?		**Binary Classification: Face or not a Face?
	***Preprocessing images using [http://opencv.willowgarage.com/wiki/ OpenCV]		***Preprocessing images using [http://opencv.willowgarage.com/wiki/ OpenCV]