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5-31-16

Use matlab toolbox to illustrate recurrent neural learning 3 layers

  • Shape

  • Color

  • Texture

Define deep learning. Add two layers instead of one.

  • Deep because of feedback

  • Use delay to create a two layer

  • Input is modifying feedback, modify middle layers (1 to 2), independence of learning

Give an example for each A1-A10

Give an example for 4 D. Detect, Defer, Delay, Defend.

 

Next week: create honeypot, dorking

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6-10-16

Prepare presentations

Pattern Recognition for fruits and RGB scale

  • Feedforward, semi-recurrent, recurrent

  • Frequency of certain A10 attacks on industry sectors

Features of web-based attacks

Narrow scope to one attack for now

Oakland University

Department of 

Engineering and Computer Science

". . . we cannot improve the language of any science, without, at the same time improving the science itself; neither can we, on the other hand, improve a science, without improving the language or nomenclature which belongs to it . . . " Antoine Lavoiser, 1787

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