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	== Neural Nets ==		== Neural Nets ==
-	TODO: explain each function below	+	TODO: explain each function below (basically copy docstrings from lab file, then format)
	=== Helper functions ===		=== Helper functions ===
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	== Support Vector Machines ==		== Support Vector Machines ==
-	TODO	+	TODO describe below
		+
		+	classify
		+
		+	margin_width
		+
		+	check_gutter_constraint
		+
		+	check_alphas
		+
		+	count_misclassified_training_points
	== Survey ==		== Survey ==

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Revision as of 01:30, 3 November 2015

Contents 1 Problems 1.1 Neural Nets 1.1.1 Helper functions 1.1.2 Wiring a neural net 1.1.3 Forward propagation 1.1.4 Backward propagation 1.2 Support Vector Machines 1.3 Survey 2 API 2.1 Neural Nets 2.1.1 Wire 2.1.2 NeuralNet 2.2 Support Vector Machines 2.2.1 Point 2.2.2 DecisionBoundary 2.2.3 SupportVectorMachine 2.2.4 Helper functions for vector math

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 (basically copy docstrings from lab file, then format)

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 describe below

classify

margin_width

check_gutter_constraint

check_alphas

count_misclassified_training_points

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