Uneak White's Personal Brand Exploration Presentation
Lecture7 Ml Machines That Can Learn
1. Machines That Can Learn Reading: Chapter 9 from Marakas Additionally: Chapter 2 from Leake “Case Based Reasoning” – in the library short loan
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11. A Neuron synapse Inputs Increasing pulse at synaptic connection results in learning or oppositely in forgetting
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14. Training the Artificial Neural Network Present data to the net with known outputs and let it “guess”. If calculation is wrong, weights are adjusted. Each neurode is tested for sensitivity
21. Decoding, Crossover, Mutation City coding Miami ….. 000 Atlanta …..001 Chicago …010 Distance coding Miami ….. 00000000 Atlanta …..10001111 Chicago …10101011 Time coding Miami ….. 010 Atlanta …..100 Chicago …100 010 10101011 100 11000101 11101011 10101011 10000101 Before crossover After crossover 11000101 11100101 Before mutation After mutation
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27. How does it work? Retrieve case from library Propose solution Adapt Justify Criticise Evaluate Store Modified from Leake New problem