Lab 7: Neural Nets
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This lab is due by TODO at 10:00pm.
To work on this lab, you will need to get the code, much like you did for the first two labs.
- You can view the files at: http://web.mit.edu/6.034/www/labs/lab6/
- Download it as a ZIP file: http://web.mit.edu/6.034/www/labs/lab6/lab6.zip
- Or, on Athena, add 6.034 and copy it from /mit/6.034/www/labs/lab6/.
Your answers for this lab belong in the main file lab6.py.
Problems
Neural Nets
TODO: explain each function below
Helper functions
stairstep
sigmoid
accuracy
Wiring a neural net
TODO (this section will probably be cut, or maybe changed to just specifying number of neurons per layer)
Forward propagation
forward_prop
Backward propagation
update_weights
back_prop
Support Vector Machines
TODO
Survey
Please answer these questions at the bottom of your lab6.py file:
- NAME: What is your name? (string)
- COLLABORATORS: Other than 6.034 staff, whom did you work with on this lab? (string, or empty string if you worked alone)
- HOW_MANY_HOURS_THIS_LAB_TOOK: Approximately how many hours did you spend on this lab? (number or string)
- WHAT_I_FOUND_INTERESTING: Which parts of this lab, if any, did you find interesting? (string)
- WHAT_I_FOUND_BORING: Which parts of this lab, if any, did you find boring or tedious? (string)
- (optional) SUGGESTIONS: What specific changes would you recommend, if any, to improve this lab for future years? (string)
(We'd ask which parts you find confusing, but if you're confused you should really ask a TA.)
When you're done, run the online tester to submit your code.
API
Neural Nets
The file neural_net_api.py defines the Wire and NeuralNet classes, described below.
Wire
TODO
NeuralNet
TODO
Support Vector Machines
The file svm_api.py defines the Point, DecisionBoundary, and SupportVectorMachine classes, as well as some helper functions for vector math, all described below.
Point
TODO
DecisionBoundary
TODO
SupportVectorMachine
TODO
Helper functions for vector math
TODO add docstrings + format
norm
dotProduct