I have a 16x16 matrix of grayscale values representing handwriting digits. Is there a plot in R that I can use to visualize it?
I\'m starting neural networks, currently following mostly D. Kriesel\'s tutorial. Right off the beginning it introduces at least three (different?) learning rules (Hebbian, delta rule, backpropagation
It's difficult to tell what is being asked here. This开发者_开发知识库 question is ambiguous, vague, incomplete, overly broad, or rhetorical andcannot be reasonably answered in its current for
After performing a cluster analysis to my dataset (a dataframe named data.matrix), I added a new column, named cluster, at the end (col 27) containing the cluster name that each instance belongs to.
this is a picture of a dog\'s contour and a horse\'s contour alt text http://www.tlnews.cn/forum/attachments/month_0810/20081024_2f055de790b83aced18atjm8EVN4Gyay.jpg
I had to build a concept analyzer for computer science field and I used for this machine lea开发者_运维知识库rning, the orange library for Python. I have the examples of concepts, where the features a
alt text http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2007/examples/person_06.jpg alt text http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2007/examples/dog_08.jpg
Would someone be able to explain to me or point me to some resources of why (or situations where) more than one hidden layer would be necessary or useful in a neu开发者_如何转开发ral network?Basically
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I have an application which decides whether a human is handwaving,running or walking. The idea is i have segmented an action,say handwave,to its poses. Let\'s say
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