VS265: Homework assignments Fall2010: Difference between revisions
No edit summary |
No edit summary |
||
| Line 65: | Line 65: | ||
<!--* Solutions: [http://redwood.berkeley.edu/amir/vs298/hw3-08.pdf pdf] [http://redwood.berkeley.edu/amir/vs298/hw3-08.zip zip'd Matlab code]. For self-grading, each question is worth 3 points.--> | <!--* Solutions: [http://redwood.berkeley.edu/amir/vs298/hw3-08.pdf pdf] [http://redwood.berkeley.edu/amir/vs298/hw3-08.zip zip'd Matlab code]. For self-grading, each question is worth 3 points.--> | ||
==== Lab #4, due Tuesday, Oct | ==== Lab #4, due Tuesday, Oct 5 at beginning of class ==== | ||
* [http://redwood.berkeley.edu/vs265/lab4.pdf lab4] | * [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/foldiak_class_scripts.zip foldiak scripts (zip)] | ||
| Line 71: | Line 71: | ||
* 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/amir/vs298/sol4-08.pdf pdf] --> | <!--* Solutions: [http://redwood.berkeley.edu/amir/vs298/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] | |||
<!--* Solutions: [http://redwood.berkeley.edu/amir/vs298/lab5/soln5-08.pdf pdf] [http://redwood.berkeley.edu/amir/vs298/lab5/lab5.zip zip'd Matlab code]--> | |||
Revision as of 21:50, 5 October 2010
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/"
Python
Fernando Perez at the Brain Imaging Center has an excellent set of resources on Python for scientific computing. You will likely find the "Starter Kit" particularly useful.
Additionally, Josh Bloom (Astronomy) is teaching a 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 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
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 data.npz
In [1]: import numpy as np
In [2]: d = np.load('data.npz')
In [3]: X,O = d['X'],d['O']
- Solutions: pdf lab1.py lab1.m (from '08)
Lab #2, due Tuesday, Sep 21 at beginning of class
For Python you can use 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
Matlab code are as separate files below.
For Python you can use
- data2d.npz (see previous assignments above for how to read this in)
- faces2.npz
- hebb.py
- eigmovie.py
Lab #4, due Tuesday, Oct 5 at beginning of class
- lab4
- foldiak scripts (zip)
- sparsenet scripts (zip)
- You will also need the following set of whitened natural movie images: IMAGES.mat
