VS265: Homework assignments Fall2010 - Revision history

Mudigonda at 23:49, 28 August 2012

2012-08-28T23:49:54Z

Mudigonda at 23:42, 28 August 2012

2012-08-28T23:42:38Z

← Older revision		Revision as of 23:34, 28 August 2012
Line 30:		Line 30:
	In [3]: X,O = d['X'],d['O']		In [3]: X,O = d['X'],d['O']

	* Solutions: [http://redwood.berkeley.edu/vs265/soln1-2010.pdf pdf] [http://redwood.berkeley.edu/vs265/lab1.txt lab1.py] [http://redwood.berkeley.edu/vs265/lab1-08.m lab1.m (from '08)]		* Solutions: <!-- [http://redwood.berkeley.edu/vs265/soln1-2010.pdf pdf] [http://redwood.berkeley.edu/vs265/lab1.txt lab1.py] [http://redwood.berkeley.edu/vs265/lab1-08.m lab1.m (from '08)] -->

	==== Lab #2, due Tuesday, Sep 21 at beginning of class ====		==== Lab #2, due Tuesday, Sep 21 at beginning of class ====

Mudigonda: moved VS265: Homework assignments to VS265: Homework assignments Fall2010

2012-08-28T02:53:15Z

moved VS265: Homework assignments to VS265: Homework assignments Fall2010

← Older revision	Revision as of 02:45, 28 August 2012
(No difference)

Bruno: /* Lab #9 (Due Tuesday, Nov. 23) */

2010-11-16T23:01:13Z

Lab #9 (Due Tuesday, Nov. 23)

← Older revision		Revision as of 22:53, 16 November 2010
Line 128:		Line 128:
	==== Lab #9 (Due Tuesday, Nov. 23) ====		==== Lab #9 (Due Tuesday, Nov. 23) ====

	* [http://redwood.berkeley.edu/vs265/lab9.pdf ~~lab8~~.pdf]		* [http://redwood.berkeley.edu/vs265/lab9.pdf lab9.pdf]
	* [http://redwood.berkeley.edu/vs265/ica/ica.m ica.m]		* [http://redwood.berkeley.edu/vs265/ica/ica.m ica.m]
	* [http://redwood.berkeley.edu/vs265/ica/test_data.mat test_data.mat]		* [http://redwood.berkeley.edu/vs265/ica/test_data.mat test_data.mat]

Bruno: /* Assignments */

2010-11-16T23:00:45Z

Assignments

New page

Students are encouraged to work in groups, but turn in assignments ''individually'', listing the group members they worked with.

'''Submission instructions''':
email both a PDF of your solutions as well as your code (.m or .py files) as attachments to:
rctn.org vs265 (vs265 should be out front)
You can hand in a paper copy of your solutions before class, but you still have to email your code to the address above before the assignment is due.

= Resources =
== Matlab ==
Amir, the past GSI for the course says "There is a guide to Matlab on the web by Kevin Murphy which is really excellent. I think it would be great for the VS265 students: [http://code.google.com/p/yagtom/ http://code.google.com/p/yagtom/]"

== Python ==
Fernando Perez at the Brain Imaging Center has an ''excellent'' set of resources on [http://fperez.org/py4science/index.html Python for scientific computing]. You will likely find the [http://fperez.org/py4science/starter_kit.html "Starter Kit"] particularly useful.

Additionally, Josh Bloom (Astronomy) is teaching a [https://bspace.berkeley.edu/portal/tool/!gateway-410?panel=Main Science Research Computing with Python] course this semester (on Mondays 2-5pm in Hearst 310, Fall 2010, CCN 06180) which you might want to take. A [https://sites.google.com/site/pythonbootcamp/lectures Python Boot Camp] kicked-off that class, and has a lot of accessible introductory material.

= Assignments =
==== Lab #1, due Thursday, September 9th at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab1.pdf lab1.pdf]
* [http://redwood.berkeley.edu/vs265/data.mat data.mat]

''for Python: either ...''
In [1]: import scipy.io
In [2]: d = scipy.io.loadmat("data.mat")
In [3]: X,O = d['X'],d['O']

''or use [http://redwood.berkeley.edu/vs265/data.npz data.npz]''
In [1]: import numpy as np
In [2]: d = np.load('data.npz')
In [3]: X,O = d['X'],d['O']

* Solutions: [http://redwood.berkeley.edu/vs265/soln1-2010.pdf pdf] [http://redwood.berkeley.edu/vs265/lab1.txt lab1.py] [http://redwood.berkeley.edu/vs265/lab1-08.m lab1.m (from '08)]

==== Lab #2, due Tuesday, Sep 21 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab2-10.pdf lab2.pdf]
* [http://redwood.berkeley.edu/vs265/apples.mat apples.mat]
* [http://redwood.berkeley.edu/vs265/oranges.mat oranges.mat]
* [http://redwood.berkeley.edu/vs265/lab2s.m lab2s.m] or [http://redwood.berkeley.edu/vs265/lab2s.txt lab2s.py]
* [http://redwood.berkeley.edu/vs265/apples2.mat apples2.mat]
* [http://redwood.berkeley.edu/vs265/oranges2.mat oranges2.mat]
* [http://redwood.berkeley.edu/vs265/lab2m.m lab2m.m]

''For Python you can use [http://redwood.berkeley.edu/vs265/apples-oranges.npz apples-oranges.npz]''
In [1]: import numpy as np
In [2]: d = np.load('apples-oranges.npz')
In [3]: d.keys()
Out[3]: ['oranges2', 'apples2', 'apples', 'oranges']

* Solutions: [http://redwood.berkeley.edu/vs265/sols/soln2-08.pdf pdf] (ignore self grading instructions) [http://redwood.berkeley.edu/vs265/sols/soln2.zip zip'd Matlab code]

==== Lab #3, due Tuesday, September 28 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab3/lab3.pdf lab3.pdf]
Matlab code are as separate files below.
* [http://redwood.berkeley.edu/vs265/lab3/data2d.mat data2d.mat]
* [http://redwood.berkeley.edu/vs265/lab3/faces2.mat faces2.mat]
* [http://redwood.berkeley.edu/vs265/lab3/hebb.m hebb.m]
* [http://redwood.berkeley.edu/vs265/lab3/eigmovie.m eigmovie.m]

''For Python you can use ''
* [http://redwood.berkeley.edu/vs265/lab3/data2d.npz data2d.npz] (see previous assignments above for how to read this in)
* [http://redwood.berkeley.edu/vs265/lab3/faces2.npz faces2.npz]
* [http://redwood.berkeley.edu/vs265/lab3/hebb.txt hebb.py]
* [http://redwood.berkeley.edu/vs265/lab3/eigmovie.txt eigmovie.py]

* Solutions: [http://redwood.berkeley.edu/vs265/sols/hw3-08.pdf pdf] [http://redwood.berkeley.edu/vs265/sols/hw3-08.zip zip'd Matlab code]. 

==== Lab #4, due Tuesday, Oct 5 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab4.pdf lab4]
* [http://redwood.berkeley.edu/vs265/foldiak_class_scripts.zip foldiak scripts (zip)]
* [http://redwood.berkeley.edu/vs265/sparsenet_class_scripts.zip sparsenet scripts (zip)]
* You will also need the following set of whitened natural movie images: [https://redwood.berkeley.edu/bruno/sparsenet/IMAGES.mat IMAGES.mat]
* Solutions: [http://redwood.berkeley.edu/vs265/sols/sol4-08.pdf pdf]

==== Lab #5 due Tuesday, Oct 12 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab5.pdf lab5]
* [http://redwood.berkeley.edu/vs265/lab5/kohonen.m kohonen.m]
* [http://redwood.berkeley.edu/vs265/lab5/showrfs.m showrfs.m]

''Python code:''
* [http://redwood.berkeley.edu/vs265/lab5/kohonen.txt kohonen.py]
* [http://redwood.berkeley.edu/vs265/lab5/showrfs.txt showrfs.py]
* Solutions: [http://redwood.berkeley.edu/vs265/sols/soln5-08.pdf pdf] [http://redwood.berkeley.edu/vs265/sols/lab5.zip zip'd Matlab code]

==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====
* [http://redwood.berkeley.edu/vs265/lab6.pdf lab6.pdf]
* [http://redwood.berkeley.edu/vs265/lab6.zip zip'd Matlab files]
* [http://redwood.berkeley.edu/vs265/lab6/genpat.m genpat.m]
* [http://redwood.berkeley.edu/vs265/lab6/hopnet.m hopnet.m]
* [http://redwood.berkeley.edu/vs265/lab6/patterns.mat patterns.mat]
* [http://redwood.berkeley.edu/vs265/lab6/corrupt.m corrupt.m]

''Python code:''
* [http://redwood.berkeley.edu/vs265/lab6/hopnet.txt hopnet.py] - python version of the above code as one file (with run, genpat, and corrupt methods)
* [http://redwood.berkeley.edu/vs265/lab6/patterns.npz patterns.npz]
p = np.load('patterns.npz')
face,hi,X = p['face'], p['hi'], p['X']

# if you load patterns.mat, use:
p = scipy.io.loadmat("patterns.mat")
face,hi,X = [p[k].reshape(10,10).T.reshape(100,1) for k in 'face','hi','X']
# line above converts Fortran to C ordering
* Solutions: [http://redwood.berkeley.edu/vs265/sols/sol6-08.pdf pdf]

==== Lab #7 (Due Tuesday, Nov. 2) ====
* [http://redwood.berkeley.edu/vs265/lab7.pdf lab7.pdf]
* [http://redwood.berkeley.edu/vs265/mog/mog.m mog.m]
* [http://redwood.berkeley.edu/vs265/mog/show_mog.m show_mog.m]
* [http://redwood.berkeley.edu/vs265/mog/X1.mat X1.mat]
* [http://redwood.berkeley.edu/vs265/mog/X1_v6.mat X1_v6.mat] (version 6)
* [http://redwood.berkeley.edu/vs265/mog/X2.mat X2.mat]
* [http://redwood.berkeley.edu/vs265/mog/X2_v6.mat X2_v6.mat] (version 6)

==== Lab #8 (Due Thursday, Nov. 11) ====
* [http://redwood.berkeley.edu/vs265/lab8.pdf lab8.pdf]
* [http://redwood.berkeley.edu/amir/vs298/boltz/scribble.mat scribble.mat]
* [http://redwood.berkeley.edu/amir/vs298/boltz/scribble_v6.mat scribble_v6.mat] (version 6)
* [http://redwood.berkeley.edu/amir/vs298/boltz/extract_patches.m extract_patches.m]
* [http://redwood.berkeley.edu/amir/vs298/boltz/prob.m prob.m]
* [http://redwood.berkeley.edu/amir/vs298/boltz/show_patches.m show_patches.m]
* [http://redwood.berkeley.edu/amir/vs298/boltz/boltz.m boltz.m]
* [http://redwood.berkeley.edu/amir/vs298/boltz/sample.m sample.m]
* [http://redwood.berkeley.edu/amir/vs298/boltz/draw.m draw.m]
* [http://redwood.berkeley.edu/amir/vs298/boltz/sigmoid.m sigmoid.m]

''Python code:''
* [http://redwood.berkeley.edu/vs265/lab8/boltz.txt boltz.py] - python version of the above code.

==== Lab #9 (Due Tuesday, Nov. 23) ====

* [http://redwood.berkeley.edu/vs265/lab9.pdf lab8.pdf]
* [http://redwood.berkeley.edu/vs265/ica/ica.m ica.m]
* [http://redwood.berkeley.edu/vs265/ica/test_data.mat test_data.mat]
* [http://redwood.berkeley.edu/vs265/ica/ica2.m ica2.m]
* [http://redwood.berkeley.edu/vs265/ica/extract_patches.m extract_patches.m]
* [http://redwood.berkeley.edu/vs265/ica/showbfs.m showbfs.m]
* [http://redwood.berkeley.edu/vs265/ica/IMAGES.mat IMAGES.mat]

Bruno at 21:04, 4 November 2010

2010-11-04T21:04:04Z

← Older revision		Revision as of 20:56, 4 November 2010
Line 110:		Line 110:
	* [http://redwood.berkeley.edu/vs265/mog/X2.mat X2.mat]		* [http://redwood.berkeley.edu/vs265/mog/X2.mat X2.mat]
	* [http://redwood.berkeley.edu/vs265/mog/X2_v6.mat X2_v6.mat] (version 6)		* [http://redwood.berkeley.edu/vs265/mog/X2_v6.mat X2_v6.mat] (version 6)

			==== Lab #8 (Due Thursday, Nov. 11) ====
			* [http://redwood.berkeley.edu/vs265/lab8.pdf lab8.pdf]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/scribble.mat scribble.mat]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/scribble_v6.mat scribble_v6.mat] (version 6)
			* [http://redwood.berkeley.edu/amir/vs298/boltz/extract_patches.m extract_patches.m]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/prob.m prob.m]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/show_patches.m show_patches.m]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/boltz.m boltz.m]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/sample.m sample.m]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/draw.m draw.m]
			* [http://redwood.berkeley.edu/amir/vs298/boltz/sigmoid.m sigmoid.m]

Bruno at 22:05, 26 October 2010

2010-10-26T22:05:12Z

New page

Students are encouraged to work in groups, but turn in assignments ''individually'', listing the group members they worked with.

'''Submission instructions''':
email both a PDF of your solutions as well as your code (.m or .py files) as attachments to:
rctn.org vs265 (vs265 should be out front)
You can hand in a paper copy of your solutions before class, but you still have to email your code to the address above before the assignment is due.

= Resources =
== Matlab ==
Amir, the past GSI for the course says "There is a guide to Matlab on the web by Kevin Murphy which is really excellent. I think it would be great for the VS265 students: [http://code.google.com/p/yagtom/ http://code.google.com/p/yagtom/]"

== Python ==
Fernando Perez at the Brain Imaging Center has an ''excellent'' set of resources on [http://fperez.org/py4science/index.html Python for scientific computing]. You will likely find the [http://fperez.org/py4science/starter_kit.html "Starter Kit"] particularly useful.

Additionally, Josh Bloom (Astronomy) is teaching a [https://bspace.berkeley.edu/portal/tool/!gateway-410?panel=Main Science Research Computing with Python] course this semester (on Mondays 2-5pm in Hearst 310, Fall 2010, CCN 06180) which you might want to take. A [https://sites.google.com/site/pythonbootcamp/lectures Python Boot Camp] kicked-off that class, and has a lot of accessible introductory material.

= Assignments =
==== Lab #1, due Thursday, September 9th at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab1.pdf lab1.pdf]
* [http://redwood.berkeley.edu/vs265/data.mat data.mat]

''for Python: either ...''
In [1]: import scipy.io
In [2]: d = scipy.io.loadmat("data.mat")
In [3]: X,O = d['X'],d['O']

''or use [http://redwood.berkeley.edu/vs265/data.npz data.npz]''
In [1]: import numpy as np
In [2]: d = np.load('data.npz')
In [3]: X,O = d['X'],d['O']

* Solutions: [http://redwood.berkeley.edu/vs265/soln1-2010.pdf pdf] [http://redwood.berkeley.edu/vs265/lab1.txt lab1.py] [http://redwood.berkeley.edu/vs265/lab1-08.m lab1.m (from '08)]

==== Lab #2, due Tuesday, Sep 21 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab2-10.pdf lab2.pdf]
* [http://redwood.berkeley.edu/vs265/apples.mat apples.mat]
* [http://redwood.berkeley.edu/vs265/oranges.mat oranges.mat]
* [http://redwood.berkeley.edu/vs265/lab2s.m lab2s.m] or [http://redwood.berkeley.edu/vs265/lab2s.txt lab2s.py]
* [http://redwood.berkeley.edu/vs265/apples2.mat apples2.mat]
* [http://redwood.berkeley.edu/vs265/oranges2.mat oranges2.mat]
* [http://redwood.berkeley.edu/vs265/lab2m.m lab2m.m]

''For Python you can use [http://redwood.berkeley.edu/vs265/apples-oranges.npz apples-oranges.npz]''
In [1]: import numpy as np
In [2]: d = np.load('apples-oranges.npz')
In [3]: d.keys()
Out[3]: ['oranges2', 'apples2', 'apples', 'oranges']



==== Lab #3, due Tuesday, September 28 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab3/lab3.pdf lab3.pdf]
Matlab code are as separate files below.
* [http://redwood.berkeley.edu/vs265/lab3/data2d.mat data2d.mat]
* [http://redwood.berkeley.edu/vs265/lab3/faces2.mat faces2.mat]
* [http://redwood.berkeley.edu/vs265/lab3/hebb.m hebb.m]
* [http://redwood.berkeley.edu/vs265/lab3/eigmovie.m eigmovie.m]

''For Python you can use ''
* [http://redwood.berkeley.edu/vs265/lab3/data2d.npz data2d.npz] (see previous assignments above for how to read this in)
* [http://redwood.berkeley.edu/vs265/lab3/faces2.npz faces2.npz]
* [http://redwood.berkeley.edu/vs265/lab3/hebb.txt hebb.py]
* [http://redwood.berkeley.edu/vs265/lab3/eigmovie.txt eigmovie.py]



==== Lab #4, due Tuesday, Oct 5 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab4.pdf lab4]
* [http://redwood.berkeley.edu/vs265/foldiak_class_scripts.zip foldiak scripts (zip)]
* [http://redwood.berkeley.edu/vs265/sparsenet_class_scripts.zip sparsenet scripts (zip)]
* You will also need the following set of whitened natural movie images: [https://redwood.berkeley.edu/bruno/sparsenet/IMAGES.mat IMAGES.mat]


==== Lab #5 due Tuesday, Oct 12 at beginning of class ====
* [http://redwood.berkeley.edu/vs265/lab5.pdf lab5]
* [http://redwood.berkeley.edu/vs265/lab5/kohonen.m kohonen.m]
* [http://redwood.berkeley.edu/vs265/lab5/showrfs.m showrfs.m]

''Python code:''
* [http://redwood.berkeley.edu/vs265/lab5/kohonen.txt kohonen.py]
* [http://redwood.berkeley.edu/vs265/lab5/showrfs.txt showrfs.py]


==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====
* [http://redwood.berkeley.edu/vs265/lab6.pdf lab6.pdf]
* [http://redwood.berkeley.edu/vs265/lab6.zip zip'd Matlab files]
* [http://redwood.berkeley.edu/vs265/lab6/genpat.m genpat.m]
* [http://redwood.berkeley.edu/vs265/lab6/hopnet.m hopnet.m]
* [http://redwood.berkeley.edu/vs265/lab6/patterns.mat patterns.mat]
* [http://redwood.berkeley.edu/vs265/lab6/corrupt.m corrupt.m]

''Python code:''
* [http://redwood.berkeley.edu/vs265/lab6/hopnet.txt hopnet.py] - python version of the above code as one file (with run, genpat, and corrupt methods)
* [http://redwood.berkeley.edu/vs265/lab6/patterns.npz patterns.npz]
p = np.load('patterns.npz')
face,hi,X = p['face'], p['hi'], p['X']

# if you load patterns.mat, use:
p = scipy.io.loadmat("patterns.mat")
face,hi,X = [p[k].reshape(10,10).T.reshape(100,1) for k in 'face','hi','X']
# line above converts Fortran to C ordering


==== Lab #7 (Due Tuesday, Nov. 2) ====
* [http://redwood.berkeley.edu/vs265/lab7.pdf lab7.pdf]
* [http://redwood.berkeley.edu/vs265/mog/mog.m mog.m]
* [http://redwood.berkeley.edu/vs265/mog/show_mog.m show_mog.m]
* [http://redwood.berkeley.edu/vs265/mog/X1.mat X1.mat]
* [http://redwood.berkeley.edu/vs265/mog/X1_v6.mat X1_v6.mat] (version 6)
* [http://redwood.berkeley.edu/vs265/mog/X2.mat X2.mat]
* [http://redwood.berkeley.edu/vs265/mog/X2_v6.mat X2_v6.mat] (version 6)

Bruno: /* Lab #6 (Due Tuesday, Oct 26 at beginning of class) */

2010-10-14T07:13:41Z

Lab #6 (Due Tuesday, Oct 26 at beginning of class)

← Older revision		Revision as of 07:05, 14 October 2010
Line 83:		Line 83:

	==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====		==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====
	* [http://redwood.berkeley.edu/vs265/lab6.pdf]		* [http://redwood.berkeley.edu/vs265/lab6.pdf lab6.pdf]
	* [http://redwood.berkeley.edu/vs265/lab6.zip zip'd Matlab files]		* [http://redwood.berkeley.edu/vs265/lab6.zip zip'd Matlab files]
	* [http://redwood.berkeley.edu/vs265/lab6/genpat.m genpat.m]		* [http://redwood.berkeley.edu/vs265/lab6/genpat.m genpat.m]

Bruno: /* Lab #6 (Due Tuesday, Oct 26 at beginning of class) */

2010-10-14T07:13:24Z

Lab #6 (Due Tuesday, Oct 26 at beginning of class)

← Older revision		Revision as of 07:05, 14 October 2010
Line 83:		Line 83:

	==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====		==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====
			* [http://redwood.berkeley.edu/vs265/lab6.pdf]
	* [http://redwood.berkeley.edu/vs265/lab6.zip zip'd Matlab files]		* [http://redwood.berkeley.edu/vs265/lab6.zip zip'd Matlab files]
	* [http://redwood.berkeley.edu/vs265/lab6/genpat.m genpat.m]		* [http://redwood.berkeley.edu/vs265/lab6/genpat.m genpat.m]

Bruno at 07:10, 14 October 2010

2010-10-14T07:10:42Z

New page

← Older revision		Revision as of 23:41, 28 August 2012
Line 47:		Line 47:
	Out[3]: ['oranges2', 'apples2', 'apples', 'oranges']		Out[3]: ['oranges2', 'apples2', 'apples', 'oranges']

	* Solutions: [http://redwood.berkeley.edu/vs265/sols/soln2-08.pdf pdf] (ignore self grading instructions) [http://redwood.berkeley.edu/vs265/sols/soln2.zip zip'd Matlab code]		* Solutions: <!-- [http://redwood.berkeley.edu/vs265/sols/soln2-08.pdf pdf] (ignore self grading instructions) [http://redwood.berkeley.edu/vs265/sols/soln2.zip zip'd Matlab code] -->

	==== Lab #3, due Tuesday, September 28 at beginning of class ====		==== Lab #3, due Tuesday, September 28 at beginning of class ====
Line 63:		Line 63:
	* [http://redwood.berkeley.edu/vs265/lab3/eigmovie.txt eigmovie.py]		* [http://redwood.berkeley.edu/vs265/lab3/eigmovie.txt eigmovie.py]

	* Solutions: [http://redwood.berkeley.edu/vs265/sols/hw3-08.pdf pdf] [http://redwood.berkeley.edu/vs265/sols/hw3-08.zip zip'd Matlab code]. ~~<!--~~ For self-grading, each question is worth 3 points. -->		* Solutions: <!-- [http://redwood.berkeley.edu/vs265/sols/hw3-08.pdf pdf] [http://redwood.berkeley.edu/vs265/sols/hw3-08.zip zip'd Matlab code]. For self-grading, each question is worth 3 points. -->

	==== Lab #4, due Tuesday, Oct 5 at beginning of class ====		==== Lab #4, due Tuesday, Oct 5 at beginning of class ====
Line 70:		Line 70:
	* [http://redwood.berkeley.edu/vs265/sparsenet_class_scripts.zip sparsenet scripts (zip)]		* [http://redwood.berkeley.edu/vs265/sparsenet_class_scripts.zip sparsenet scripts (zip)]
	* You will also need the following set of whitened natural movie images: [https://redwood.berkeley.edu/bruno/sparsenet/IMAGES.mat IMAGES.mat]		* You will also need the following set of whitened natural movie images: [https://redwood.berkeley.edu/bruno/sparsenet/IMAGES.mat IMAGES.mat]
	* Solutions: [http://redwood.berkeley.edu/vs265/sols/sol4-08.pdf pdf]		* Solutions: <!-- [http://redwood.berkeley.edu/vs265/sols/sol4-08.pdf pdf] -->

	==== Lab #5 due Tuesday, Oct 12 at beginning of class ====		==== Lab #5 due Tuesday, Oct 12 at beginning of class ====
Line 80:		Line 80:
	* [http://redwood.berkeley.edu/vs265/lab5/kohonen.txt kohonen.py]		* [http://redwood.berkeley.edu/vs265/lab5/kohonen.txt kohonen.py]
	* [http://redwood.berkeley.edu/vs265/lab5/showrfs.txt showrfs.py]		* [http://redwood.berkeley.edu/vs265/lab5/showrfs.txt showrfs.py]
	* Solutions: [http://redwood.berkeley.edu/vs265/sols/soln5-08.pdf pdf] [http://redwood.berkeley.edu/vs265/sols/lab5.zip zip'd Matlab code]		* Solutions: <!-- [http://redwood.berkeley.edu/vs265/sols/soln5-08.pdf pdf] [http://redwood.berkeley.edu/vs265/sols/lab5.zip zip'd Matlab code] -->

	==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====		==== Lab #6 (Due Tuesday, Oct 26 at beginning of class) ====
Line 100:		Line 100:
	face,hi,X = [p[k].reshape(10,10).T.reshape(100,1) for k in 'face','hi','X']		face,hi,X = [p[k].reshape(10,10).T.reshape(100,1) for k in 'face','hi','X']
	# line above converts Fortran to C ordering		# line above converts Fortran to C ordering
	* Solutions: [http://redwood.berkeley.edu/vs265/sols/sol6-08.pdf pdf]		* Solutions: <!-- [http://redwood.berkeley.edu/vs265/sols/sol6-08.pdf pdf] -->

	==== Lab #7 (Due Tuesday, Nov. 2) ====		==== Lab #7 (Due Tuesday, Nov. 2) ====