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PROJECT ASSIGNMENT:
1. Construct a learning system for face recognition using neural
networks and the error back propagation procedure. This
project is based on the source code and dataset provided
online as a companion to Chapter 4 of Tom M. Mitchell's
"Machine Learning" textbook (McGraw-Hill, 1997). For your
convenience, here is a PDF version of the code
documentation.
This project consists of three subparts:
1. Sunglasses Recognizer. Train a neural network to
recognize whether the person in a picture is wearing
sunglasses.
2. Face Recognizer. Train a neural network to recognize
who the person in a picture is among a group of 20
possible people.
3. Pose Recognizer. Train a neural network to recognize
whether the person in a picture is looking up, straight,
left, or right.
You must follow the guidelines below for the training of your
neural nets:
o Assignment: Complete Part I of the assignment
described in the data and code webpage (under
"Documentation") by Tom Mitchell. Include answers to
the all the questions in that assignment in your written
report. For your convenience, here is a PDF version of
the code documentation and of Mitchell's assignment.
o Code: You can use
the C code for the neural network error
backpropagation algorithm
your own code.
Your code must run on the Windows machines. Make
sure that the code you use correctly computes the
error function of the neural net when more than
one output node is used. For that you need to read
the code and understand it in detail.
资源评论
- alron2013-12-21仅供参考学习还将就吧
ximelon
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