Difference between revisions of "Team:Florida Atlantic/Model"
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layer of the network was a fully-connected layer with 150 nodes and | layer of the network was a fully-connected layer with 150 nodes and | ||
hyperbolic tangent activation function. The output layer contained two | hyperbolic tangent activation function. The output layer contained two | ||
| − | nodes with a softmax activation function. | + | nodes with a softmax activation function.<p> |
<img src="https://static.igem.org/mediawiki/2017/e/ee/T--Florida_Atlantic--LSTMGraph.png"> | <img src="https://static.igem.org/mediawiki/2017/e/ee/T--Florida_Atlantic--LSTMGraph.png"> | ||
Revision as of 14:42, 1 November 2017
Florida_Atlantic
Model
LSTM Machine Learning Model
The LSTM model contained two lstm layers with 300 nodes each. The first lstm layer used dropout with a dropout probability of 0.5 to avoid overfitting the training data. The third layer of the network was a fully-connected layer with 150 nodes and hyperbolic tangent activation function. The output layer contained two nodes with a softmax activation function.
